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facebook
/
esm2_t33_650M_UR50D

Fill-Mask
Transformers
PyTorch
google-tensorflow TensorFlow
Safetensors
esm
Model card Files Files and versions
xet
Community
6

Instructions to use facebook/esm2_t33_650M_UR50D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use facebook/esm2_t33_650M_UR50D with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="facebook/esm2_t33_650M_UR50D")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("facebook/esm2_t33_650M_UR50D")
    model = AutoModelForMaskedLM.from_pretrained("facebook/esm2_t33_650M_UR50D")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

TemporalMesh Transformer: 29.4 PPL at 48% compute — beats Mamba, new open-source architecture

#6 opened 1 day ago by
vigneshwar234

maximum sequence length

#5 opened about 2 years ago by
j3rk0

How to get esm2_t33_650M_UR50D Fixed embedding using in the downstram task?

#4 opened almost 3 years ago by
xigua666

Is CLS token included in pre-training?

#3 opened almost 3 years ago by
pipparichter
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