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maia2000
/
ner-camembert-base

Token Classification
Transformers
Safetensors
camembert
Model card Files Files and versions
xet
Community

Instructions to use maia2000/ner-camembert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use maia2000/ner-camembert-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="maia2000/ner-camembert-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("maia2000/ner-camembert-base")
    model = AutoModelForTokenClassification.from_pretrained("maia2000/ner-camembert-base")
  • Notebooks
  • Google Colab
  • Kaggle
ner-camembert-base
443 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
maia2000's picture
maia2000
Upload label_mapping.json with huggingface_hub
a0185b1 verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    5.17 kB
    Upload NER model 2 months ago
  • added_tokens.json
    31 Bytes
    Upload tokenizer 2 months ago
  • config.json
    1.24 kB
    Upload NER model 2 months ago
  • label_mapping.json
    545 Bytes
    Upload label_mapping.json with huggingface_hub 2 months ago
  • model.safetensors
    440 MB
    LFS
    Upload NER model 2 months ago
  • sentencepiece.bpe.model
    811 kB
    LFS
    Upload tokenizer 2 months ago
  • special_tokens_map.json
    394 Bytes
    Upload tokenizer 2 months ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer 2 months ago
  • tokenizer_config.json
    1.91 kB
    Upload tokenizer 2 months ago