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impresso-project
/
ner-stacked-bert-multilingual-light

Token Classification
Transformers
PyTorch
Safetensors
English
French
German
stacked_bert
v1.0.0
custom_code
Model card Files Files and versions
xet
Community

Instructions to use impresso-project/ner-stacked-bert-multilingual-light with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use impresso-project/ner-stacked-bert-multilingual-light with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="impresso-project/ner-stacked-bert-multilingual-light", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForTokenClassification
    model = AutoModelForTokenClassification.from_pretrained("impresso-project/ner-stacked-bert-multilingual-light", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ner-stacked-bert-multilingual-light
559 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 41 commits
emanuelaboros's picture
emanuelaboros
reqs
d3683e6 6 months ago
  • old
    test 7 months ago
  • .DS_Store
    6.15 kB
    test 7 months ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    9.2 kB
    add diff in readme 7 months ago
  • __init__.py
    0 Bytes
    version old about 1 year ago
  • config.json
    6.07 kB
    tokens model 7 months ago
  • configuration_stacked.py
    3.66 kB
    move to pregenerated tokens about 1 year ago
  • generic_ner.py
    29.3 kB
    tokens model 7 months ago
  • label_map.json
    2 kB
    tokens model 7 months ago
  • model.safetensors
    194 MB
    xet
    tokens model 7 months ago
  • modeling_stacked.py
    4.88 kB
    tokens model 7 months ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    169 MB
    xet
    Add model weights with Git LFS tracking 7 months ago
  • requirements.txt
    64 Bytes
    reqs 6 months ago
  • special_tokens_map.json
    695 Bytes
    tokens model 7 months ago
  • test.py
    2.02 kB
    version old about 1 year ago
  • test_ner.py
    3.98 kB
    move to pregenerated tokens about 1 year ago
  • tokenizer.json
    716 kB
    version old about 1 year ago
  • tokenizer_config.json
    1.25 kB
    tokens model 7 months ago
  • training_args.bin

    Detected Pickle imports (2)

    • "torch.device",
    • "argparse.Namespace"

    How to fix it?

    2.1 kB
    xet
    new model 7 months ago
  • vocab.txt
    212 kB
    version old about 1 year ago