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Dauka-transformers
/
interpro_bert_2

Feature Extraction
Transformers
TensorBoard
Safetensors
bert
fill-mask
trained_from_scratch
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Dauka-transformers/interpro_bert_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Dauka-transformers/interpro_bert_2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Dauka-transformers/interpro_bert_2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("Dauka-transformers/interpro_bert_2")
    model = AutoModelForMaskedLM.from_pretrained("Dauka-transformers/interpro_bert_2")
  • Notebooks
  • Google Colab
  • Kaggle
interpro_bert_2 / runs
102 kB
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  • 1 contributor
History: 1 commit
Dauka-transformers's picture
Dauka-transformers
End of training
1b7952a verified about 2 years ago
  • Apr15_22-07-13_gpu212-06
    End of training about 2 years ago