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--- |
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base_model: FacebookAI/roberta-base |
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datasets: |
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- SynthSTEL/styledistance_training_triplets |
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tags: |
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- datadreamer |
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- datadreamer-0.35.0 |
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- synthetic |
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- sentence-transformers |
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- feature-extraction |
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- sentence-similarity |
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library_name: sentence-transformers |
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widget: |
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- example_title: "Example 1" |
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source_sentence: "Did you hear about the Wales wing? He'll h8 2 withdraw due 2 injuries from future competitions." |
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sentences: |
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- "We're raising funds 2 improve our school's storage facilities and add new playground equipment!" |
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- "Did you hear about the Wales wing? He'll hate to withdraw due to injuries from future competitions." |
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- example_title: "Example 2" |
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source_sentence: "You planned the DesignMeets Decades of Design event; you executed it perfectly." |
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sentences: |
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- "We'll find it hard to prove the thief didn't face a real threat!" |
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- "You orchestrated the DesignMeets Decades of Design gathering; you actualized it flawlessly." |
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- example_title: "Example 3" |
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source_sentence: "Did the William Barr maintain a commitment to allow Robert Mueller to finish the inquiry?" |
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sentences: |
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- "Will the artist be compiling a music album, or will there be a different focus in the future?" |
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- "Did William Barr maintain commitment to allow Robert Mueller to finish inquiry?" |
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pipeline_tag: sentence-similarity |
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--- |
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# Model Card |
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[Add more information here](https://huggingface.co./templates/model-card-example) |
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## Example Usage |
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```python3 |
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from sentence_transformers import SentenceTransformer |
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from sentence_transformers.util import cos_sim |
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model = SentenceTransformer('SynthSTEL/styledistance') # Load model |
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input = model.encode("Did you hear about the Wales wing? He'll h8 2 withdraw due 2 injuries from future competitions.") |
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others = model.encode(["We're raising funds 2 improve our school's storage facilities and add new playground equipment!", "Did you hear about the Wales wing? He'll hate to withdraw due to injuries from future competitions."]) |
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print(cos_sim(input, others)) |
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``` |
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--- |
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This model was trained with a synthetic dataset with [DataDreamer 🤖💤](https://datadreamer.dev). The synthetic dataset card and model card can be found [here](datadreamer.json). The training arguments can be found [here](training_args.json). |
