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Synthyra
/
ESM3_small

Feature Extraction
Transformers
Safetensors
fast_esm3
protein-language-model
fastplms
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Synthyra/ESM3_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Synthyra/ESM3_small with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Synthyra/ESM3_small", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Synthyra/ESM3_small", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ESM3_small
5.61 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 29 commits
lhallee's picture
lhallee
Update FastPLMs runtime and model cards
a298547 verified 2 days ago
  • LICENSES
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  • fastplms
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  • .gitattributes
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  • LICENSE
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  • README.md
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  • THIRD_PARTY_NOTICES.md
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  • config.json
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  • fastplms_bundle.py
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  • model-00001-of-00002.safetensors
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    xet
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  • model-00002-of-00002.safetensors
    633 MB
    xet
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  • model.safetensors.index.json
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  • modeling_esm3.py
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  • modeling_fastplms.py
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  • requirements.txt
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  • runtime-attestation.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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