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allenai
/
aspire-biencoder-compsci-spec

Feature Extraction
Transformers
PyTorch
English
bert
Model card Files Files and versions
xet
Community
2

Instructions to use allenai/aspire-biencoder-compsci-spec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use allenai/aspire-biencoder-compsci-spec with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="allenai/aspire-biencoder-compsci-spec")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("allenai/aspire-biencoder-compsci-spec")
    model = AutoModel.from_pretrained("allenai/aspire-biencoder-compsci-spec")
  • Notebooks
  • Google Colab
  • Kaggle
aspire-biencoder-compsci-spec
440 MB
Ctrl+K
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  • 4 contributors
History: 6 commits
dirkgr's picture
dirkgr
lbourdois's picture
lbourdois
Upload README.md with huggingface_hub (#1)
8456a52 over 3 years ago
  • .gitattributes
    1.22 kB
    initial commit about 4 years ago
  • README.md
    4.87 kB
    Upload README.md with huggingface_hub (#1) over 3 years ago
  • config.json
    629 Bytes
    Initial model commit. about 4 years ago
  • pytorch_model.bin
    440 MB
    xet
    Initial model commit. about 4 years ago
  • special_tokens_map.json
    112 Bytes
    Initial model commit. about 4 years ago
  • tokenizer_config.json
    306 Bytes
    Initial model commit. about 4 years ago
  • vocab.txt
    222 kB
    Initial model commit. about 4 years ago