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facebook
/
esm1v_t33_650M_UR90S_5

Fill-Mask
Transformers
PyTorch
google-tensorflow TensorFlow
esm
Model card Files Files and versions
xet
Community
2

Instructions to use facebook/esm1v_t33_650M_UR90S_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use facebook/esm1v_t33_650M_UR90S_5 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="facebook/esm1v_t33_650M_UR90S_5")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("facebook/esm1v_t33_650M_UR90S_5")
    model = AutoModelForMaskedLM.from_pretrained("facebook/esm1v_t33_650M_UR90S_5", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
esm1v_t33_650M_UR90S_5
5.22 GB
Ctrl+K
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  • 2 contributors
History: 6 commits
Rocketknight1's picture
Rocketknight1 HF Staff
Update TF weights
fb2e51c over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit almost 4 years ago
  • config.json
    785 Bytes
    Update TF weights over 3 years ago
  • pytorch_model.bin
    2.61 GB
    xet
    Update LM head bias over 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer almost 4 years ago
  • tf_model.h5
    2.61 GB
    xet
    Update TF weights over 3 years ago
  • tokenizer_config.json
    40 Bytes
    Upload tokenizer almost 4 years ago
  • vocab.txt
    93 Bytes
    Upload tokenizer almost 4 years ago