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adibvafa
/
CodonTransformer

Token Classification
Transformers
Safetensors
big_bird
fill-mask
CodonTransformer
Computational Biology
Machine Learning
Bioinformatics
Synthetic Biology
biology
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use adibvafa/CodonTransformer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="adibvafa/CodonTransformer")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("adibvafa/CodonTransformer")
    model = AutoModelForMaskedLM.from_pretrained("adibvafa/CodonTransformer")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
CodonTransformer
358 MB
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  • 1 contributor
History: 20 commits
adibvafa's picture
adibvafa
Update README.md
9744dcc verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    4.6 kB
    Update README.md 6 months ago
  • config.json
    786 Bytes
    Upload BigBirdForMaskedLM almost 2 years ago
  • generation_config.json
    139 Bytes
    Upload BigBirdForMaskedLM almost 2 years ago
  • model.safetensors
    358 MB
    xet
    Upload BigBirdForMaskedLM almost 2 years ago
  • special_tokens_map.json
    182 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    4.44 kB
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    1.24 kB
    Upload tokenizer almost 2 years ago