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dgramus
/
ner-best-model

Token Classification
Transformers
Safetensors
Russian
English
NER
ecom
Model card Files Files and versions
xet
Community

Instructions to use dgramus/ner-best-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dgramus/ner-best-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="dgramus/ner-best-model")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("dgramus/ner-best-model", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ner-best-model
1.13 GB
Ctrl+K
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  • 2 contributors
History: 2 commits
dgramus's picture
dgramus
Create README.md
35c436d verified 11 months ago
  • .gitattributes
    331 Bytes
    Best NER Model 11 months ago
  • README.md
    210 Bytes
    Create README.md 11 months ago
  • config.json
    4.6 kB
    xet
    Best NER Model 11 months ago
  • model.safetensors
    1.11 GB
    xet
    Best NER Model 11 months ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Best NER Model 11 months ago
  • special_tokens_map.json
    280 Bytes
    xet
    Best NER Model 11 months ago
  • tokenizer.json
    17.1 MB
    xet
    Best NER Model 11 months ago
  • tokenizer_config.json
    1.18 kB
    xet
    Best NER Model 11 months ago