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rampasek
/
prot_bert_bfd_rosetta20aa

Text Classification
Transformers
PyTorch
bert
protein language model
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use rampasek/prot_bert_bfd_rosetta20aa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rampasek/prot_bert_bfd_rosetta20aa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="rampasek/prot_bert_bfd_rosetta20aa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("rampasek/prot_bert_bfd_rosetta20aa")
    model = AutoModelForSequenceClassification.from_pretrained("rampasek/prot_bert_bfd_rosetta20aa", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
prot_bert_bfd_rosetta20aa
1.68 GB
Ctrl+K
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  • 2 contributors
History: 3 commits
rampasek's picture
rampasek
Update README.md
8aa5d9f over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    1.09 kB
    Update README.md over 4 years ago
  • config.json
    757 Bytes
    first version over 4 years ago
  • pytorch_model.bin
    1.68 GB
    xet
    first version over 4 years ago
  • special_tokens_map.json
    112 Bytes
    first version over 4 years ago
  • tokenizer.json
    3.09 kB
    first version over 4 years ago
  • tokenizer_config.json
    378 Bytes
    first version over 4 years ago
  • training_args.bin
    2.99 kB
    xet
    first version over 4 years ago
  • vocab.txt
    81 Bytes
    first version over 4 years ago