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xshubhamx
/
InLegalBERT

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use xshubhamx/InLegalBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="xshubhamx/InLegalBERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("xshubhamx/InLegalBERT")
    model = AutoModelForSequenceClassification.from_pretrained("xshubhamx/InLegalBERT", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
InLegalBERT / runs
44.5 kB
Ctrl+K
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  • 1 contributor
History: 16 commits
xshubhamx's picture
xshubhamx
End of training
be61bcd verified over 2 years ago
  • Apr12_18-36-28_b0fca03b936f
    End of training over 2 years ago
  • Apr14_02-25-35_3e1d3a604afe
    End of training over 2 years ago