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copenlu
/
citebert

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

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

  • Libraries
  • Transformers

    How to use copenlu/citebert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="copenlu/citebert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("copenlu/citebert")
    model = AutoModel.from_pretrained("copenlu/citebert")
  • Notebooks
  • Google Colab
  • Kaggle
citebert
441 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
dwright37's picture
dwright37
add tokenizer
95a3f36 about 4 years ago
  • .gitattributes
    690 Bytes
    initial commit almost 5 years ago
  • README.md
    304 Bytes
    Update README.md almost 5 years ago
  • config.json
    614 Bytes
    add model almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    440 MB
    xet
    add model almost 5 years ago
  • special_tokens_map.json
    112 Bytes
    add tokenizer about 4 years ago
  • tokenizer.json
    717 kB
    add tokenizer about 4 years ago
  • tokenizer_config.json
    343 Bytes
    add tokenizer about 4 years ago
  • vocab.txt
    228 kB
    add tokenizer about 4 years ago