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Ramu143
/
NER_Model

Token Classification
Transformers
Safetensors
xlm-roberta
Model card Files Files and versions
xet
Community

Instructions to use Ramu143/NER_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ramu143/NER_Model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Ramu143/NER_Model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Ramu143/NER_Model")
    model = AutoModelForTokenClassification.from_pretrained("Ramu143/NER_Model")
  • Notebooks
  • Google Colab
  • Kaggle
NER_Model
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Ramu143's picture
Ramu143
Upload id2tag mapping
b0aa856 verified 8 months ago
  • .gitattributes
    1.57 kB
    Upload tokenizer 8 months ago
  • README.md
    5.17 kB
    Upload NER model 8 months ago
  • config.json
    1.06 kB
    Upload NER model 8 months ago
  • id2tag.json
    154 Bytes
    Upload id2tag mapping 8 months ago
  • model.safetensors
    1.11 GB
    xet
    Upload NER model 8 months ago
  • special_tokens_map.json
    1.02 kB
    Upload tokenizer 8 months ago
  • tokenizer.json
    17.1 MB
    xet
    Upload tokenizer 8 months ago
  • tokenizer_config.json
    1.35 kB
    Upload tokenizer 8 months ago