Mohamed1213
commited on
Commit
•
ef504cc
1
Parent(s):
4e250be
Upload processor
Browse files- README.md +199 -0
- added_tokens.json +12 -0
- preprocessor_config.json +26 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +62 -0
- tokenizer.json +0 -0
- tokenizer_config.json +147 -0
README.md
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---
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library_name: transformers
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tags: []
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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added_tokens.json
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{
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"</s_answer>": 57523,
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"</s_question>": 57524,
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"<no/>": 57525,
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"<s_answer>": 57526,
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"<s_docvqa>": 57527,
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"<s_iitcdip>": 57528,
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"<s_question>": 57529,
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"<s_synthdog>": 57530,
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"<sep/>": 57522,
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"<yes/>": 57531
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}
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preprocessor_config.json
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{
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"do_align_long_axis": false,
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"do_normalize": true,
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"do_pad": true,
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"do_rescale": true,
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"do_resize": true,
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"do_thumbnail": true,
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"image_mean": [
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0.5,
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0.5,
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0.5
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],
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"image_processor_type": "DonutImageProcessor",
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"image_std": [
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0.5,
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0.5,
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0.5
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],
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"processor_class": "DonutProcessor",
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 2560,
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"width": 1920
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}
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}
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:cb9e3dce4c326195d08fc3dd0f7e2eee1da8595c847bf4c1a9c78b7a82d47e2d
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size 1296245
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"</s_answer>",
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"</s_question>",
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"<no/>",
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"<s_answer>",
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"<s_docvqa>",
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"<s_iitcdip>",
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"<s_question>",
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"<s_synthdog>",
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"<yes/>"
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],
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"cls_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"sep_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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1 |
+
{
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2 |
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"added_tokens_decoder": {
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3 |
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"0": {
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4 |
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5 |
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},
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"1": {
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18 |
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},
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"2": {
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20 |
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"content": "</s>",
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24 |
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25 |
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26 |
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},
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27 |
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"3": {
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28 |
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"content": "<unk>",
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29 |
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30 |
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33 |
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},
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35 |
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"57521": {
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36 |
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"content": "<mask>",
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37 |
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38 |
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39 |
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40 |
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41 |
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42 |
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},
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43 |
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"57522": {
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44 |
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"content": "<sep/>",
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45 |
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46 |
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47 |
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48 |
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49 |
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50 |
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},
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51 |
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"57523": {
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52 |
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"content": "</s_answer>",
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53 |
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54 |
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55 |
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56 |
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57 |
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58 |
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60 |
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61 |
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62 |
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65 |
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66 |
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},
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67 |
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68 |
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69 |
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70 |
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71 |
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72 |
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73 |
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74 |
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75 |
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76 |
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"content": "<s_answer>",
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77 |
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78 |
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79 |
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80 |
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81 |
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82 |
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83 |
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|
84 |
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"content": "<s_docvqa>",
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85 |
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86 |
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87 |
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88 |
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89 |
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90 |
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},
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91 |
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92 |
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93 |
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94 |
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95 |
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96 |
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97 |
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98 |
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100 |
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101 |
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102 |
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103 |
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104 |
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105 |
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106 |
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},
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107 |
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"57530": {
|
108 |
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"content": "<s_synthdog>",
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109 |
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110 |
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111 |
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112 |
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113 |
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114 |
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},
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115 |
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116 |
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"content": "<yes/>",
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117 |
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118 |
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119 |
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120 |
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121 |
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122 |
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}
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123 |
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},
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124 |
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"additional_special_tokens": [
|
125 |
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"</s_answer>",
|
126 |
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"</s_question>",
|
127 |
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"<no/>",
|
128 |
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"<s_answer>",
|
129 |
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"<s_docvqa>",
|
130 |
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"<s_iitcdip>",
|
131 |
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"<s_question>",
|
132 |
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"<s_synthdog>",
|
133 |
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"<yes/>"
|
134 |
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],
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135 |
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"bos_token": "<s>",
|
136 |
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"clean_up_tokenization_spaces": true,
|
137 |
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"cls_token": "<s>",
|
138 |
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"eos_token": "</s>",
|
139 |
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"mask_token": "<mask>",
|
140 |
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"model_max_length": 1000000000000000019884624838656,
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141 |
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"pad_token": "<pad>",
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142 |
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"processor_class": "DonutProcessor",
|
143 |
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"sep_token": "</s>",
|
144 |
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"sp_model_kwargs": {},
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145 |
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"tokenizer_class": "XLMRobertaTokenizer",
|
146 |
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"unk_token": "<unk>"
|
147 |
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}
|