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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
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Jax code for inference?

#7 opened 8 months ago by
james-golden-arcadia

Adding `safetensors` variant of this model

#5 opened 12 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#4 opened 12 months ago by
SFconvertbot

Adding `safetensors` variant of this model

#2 opened 12 months ago by
SFconvertbot
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