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whoisjones
/
otter-bi-mmbert

Token Classification
Transformers
Safetensors
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use whoisjones/otter-bi-mmbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use whoisjones/otter-bi-mmbert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="whoisjones/otter-bi-mmbert", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForTokenClassification
    model = AutoModelForTokenClassification.from_pretrained("whoisjones/otter-bi-mmbert", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
otter-bi-mmbert
1.91 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
whoisjones's picture
whoisjones
Update README.md
6f4ba31 verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    4.76 kB
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  • collate_fn.py
    19.5 kB
    Upload collate_fn.py with huggingface_hub 5 months ago
  • config.json
    940 Bytes
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  • configuration_biencoder.py
    1.9 kB
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  • loss.py
    3.4 kB
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  • metrics.py
    3.97 kB
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  • model.safetensors
    1.91 GB
    xet
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  • modeling_biencoder.py
    10.6 kB
    Upload modeling_biencoder.py with huggingface_hub 5 months ago
  • token_encoder_config.json
    1.26 kB
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  • type_encoder_config.json
    793 Bytes
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