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Linseypass
/
mirror-SPECTER

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

Instructions to use Linseypass/mirror-SPECTER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Linseypass/mirror-SPECTER with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Linseypass/mirror-SPECTER")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Linseypass/mirror-SPECTER")
    model = AutoModel.from_pretrained("Linseypass/mirror-SPECTER")
  • Notebooks
  • Google Colab
  • Kaggle
mirror-SPECTER
441 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
Linseypass's picture
Linseypass
Create README.md
e41f09e over 3 years ago
  • .gitattributes
    4.1 kB
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  • README.md
    155 Bytes
    Create README.md over 3 years ago
  • config.json
    656 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    440 MB
    xet
    Upload 6 files over 3 years ago
  • special_tokens_map.json
    112 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    342 Bytes
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  • vocab.txt
    222 kB
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