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CLTL
/
gm-ner-xlmrbase

Token Classification
Transformers
PyTorch
google-tensorflow TensorFlow
Dutch
xlm-roberta
dighum
Model card Files Files and versions
xet
Community
1

Instructions to use CLTL/gm-ner-xlmrbase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use CLTL/gm-ner-xlmrbase with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="CLTL/gm-ner-xlmrbase")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("CLTL/gm-ner-xlmrbase")
    model = AutoModelForTokenClassification.from_pretrained("CLTL/gm-ner-xlmrbase")
  • Notebooks
  • Google Colab
  • Kaggle
gm-ner-xlmrbase
2.23 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
CLTL's picture
CLTL
add citation
120252d over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    3.9 kB
    add citation over 4 years ago
  • config.json
    1.25 kB
    initial commit over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.11 GB
    xet
    initial commit over 4 years ago
  • special_tokens_map.json
    239 Bytes
    initial commit over 4 years ago
  • tf_model.h5
    1.11 GB
    xet
    initial commit over 4 years ago
  • tokenizer.json
    9.08 MB
    initial commit over 4 years ago
  • tokenizer_config.json
    398 Bytes
    initial commit over 4 years ago