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ElnaggarLab
/
ankh3-large

Feature Extraction
Transformers
PyTorch
t5
text2text-generation
protein language model
Model card Files Files and versions
xet
Community
7

Instructions to use ElnaggarLab/ankh3-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ElnaggarLab/ankh3-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ElnaggarLab/ankh3-large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("ElnaggarLab/ankh3-large")
    model = AutoModelForSeq2SeqLM.from_pretrained("ElnaggarLab/ankh3-large")
  • Notebooks
  • Google Colab
  • Kaggle
ankh3-large
7.52 GB
Ctrl+K
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  • 4 contributors
History: 14 commits
agemagician's picture
agemagician
Update README.md
2be0916 verified 11 months ago
  • .gitattributes
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  • README.md
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  • config.json
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  • generation_config.json
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  • pytorch_model.bin
    7.52 GB
    xet
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  • special_tokens_map.json
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  • spiece.model
    238 kB
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  • tokenizer.json
    332 kB
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  • tokenizer_config.json
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