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jonghyunlee
/
UniProtBERT

Feature Extraction
Transformers
PyTorch
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use jonghyunlee/UniProtBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="jonghyunlee/UniProtBERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("jonghyunlee/UniProtBERT")
    model = AutoModel.from_pretrained("jonghyunlee/UniProtBERT")
  • Notebooks
  • Google Colab
  • Kaggle
UniProtBERT
Ctrl+K
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  • 1 contributor
History: 3 commits
jonghyunlee's picture
jonghyunlee
Upload tokenizer
57634ab verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • added_tokens.json
    82 Bytes
    Upload tokenizer about 2 years ago
  • config.json
    557 Bytes
    Upload model about 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    265 MB
    xet
    Upload model about 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer.json
    711 kB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.23 kB
    Upload tokenizer about 2 years ago
  • vocab.txt
    232 kB
    Upload tokenizer about 2 years ago