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leonpham1208
/
alpha-ner-bi-transformer

Feature Extraction
Transformers
PyTorch
GLiNER
English
transformer
nexcel-solutions
Model card Files Files and versions
xet
Community

Instructions to use leonpham1208/alpha-ner-bi-transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use leonpham1208/alpha-ner-bi-transformer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="leonpham1208/alpha-ner-bi-transformer")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("leonpham1208/alpha-ner-bi-transformer", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
alpha-ner-bi-transformer
622 MB
Ctrl+K
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  • 1 contributor
History: 11 commits
leonpham1208's picture
leonpham1208
Update README.md
17deca4 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    2.91 kB
    Update README.md about 1 year ago
  • added_tokens.json
    92 Bytes
    Push model using huggingface_hub. about 1 year ago
  • config.json
    3.41 kB
    Upload config about 1 year ago
  • gliner_config.json
    3.41 kB
    Push model using huggingface_hub. about 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    611 MB
    xet
    Push model using huggingface_hub. about 1 year ago
  • special_tokens_map.json
    1.02 kB
    Push model using huggingface_hub. about 1 year ago
  • spm.model
    2.46 MB
    xet
    Push model using huggingface_hub. about 1 year ago
  • tokenizer.json
    8.65 MB
    Push model using huggingface_hub. about 1 year ago
  • tokenizer_config.json
    2 kB
    Push model using huggingface_hub. about 1 year ago