Update README.md
Browse files
README.md
CHANGED
@@ -12,8 +12,7 @@ widget:
|
|
12 |
|
13 |
# Model description
|
14 |
|
15 |
-
This model is [t5-base](https://huggingface.co/t5-base) fine-tuned on the [190k Medium Articles](https://www.kaggle.com/datasets/fabiochiusano/medium-articles) dataset for predicting article tags using the article textual content as input. While usually formulated as a multi-label classification problem, this model deals with _tag generation_ as a text2text generation task (inspiration from
|
16 |
-
|
17 |
# How to use the model
|
18 |
```python
|
19 |
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
|
|
|
12 |
|
13 |
# Model description
|
14 |
|
15 |
+
This model is [t5-base](https://huggingface.co/t5-base) fine-tuned on the [190k Medium Articles](https://www.kaggle.com/datasets/fabiochiusano/medium-articles) dataset for predicting article tags using the article textual content as input. While usually formulated as a multi-label classification problem, this model deals with _tag generation_ as a text2text generation task (inspiration from [text2tags](https://huggingface.co/efederici/text2tags)).
|
|
|
16 |
# How to use the model
|
17 |
```python
|
18 |
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
|