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andrewdalpino
/
ESM2-150M-Protein-Biological-Process

Text Classification
Transformers
TensorBoard
ONNX
Safetensors
esm
gene-ontology
proteomics
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use andrewdalpino/ESM2-150M-Protein-Biological-Process with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use andrewdalpino/ESM2-150M-Protein-Biological-Process with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="andrewdalpino/ESM2-150M-Protein-Biological-Process")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("andrewdalpino/ESM2-150M-Protein-Biological-Process")
    model = AutoModelForSequenceClassification.from_pretrained("andrewdalpino/ESM2-150M-Protein-Biological-Process")
  • Notebooks
  • Google Colab
  • Kaggle
ESM2-150M-Protein-Biological-Process
1.29 GB
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  • 1 contributor
History: 20 commits
andrewdalpino's picture
andrewdalpino
Update README.md
cdf38c1 verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    3.89 kB
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  • config.json
    1.03 MB
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  • events.out.tfevents.1749399063.Volluto.4006411.0
    6.33 kB
    xet
    Upload events.out.tfevents.1749399063.Volluto.4006411.0 12 months ago
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    xet
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  • model.onnx
    646 MB
    xet
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  • model.safetensors
    647 MB
    xet
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  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    1.16 kB
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  • vocab.txt
    93 Bytes
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