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priyabrat
/
new4th_categorisation_Bert

Text Classification
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use priyabrat/new4th_categorisation_Bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use priyabrat/new4th_categorisation_Bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="priyabrat/new4th_categorisation_Bert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("priyabrat/new4th_categorisation_Bert")
    model = AutoModelForSequenceClassification.from_pretrained("priyabrat/new4th_categorisation_Bert")
  • Notebooks
  • Google Colab
  • Kaggle
new4th_categorisation_Bert
438 MB
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  • 1 contributor
History: 3 commits
priyabrat's picture
priyabrat
Update config.json
efa60d3 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • config.json
    1.07 kB
    Update config.json almost 3 years ago
  • pytorch_model.bin
    438 MB
    xet
    Upload 5 files almost 3 years ago
  • tokenizer.json
    466 kB
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  • tokenizer_config.json
    28 Bytes
    Upload 5 files almost 3 years ago
  • training_args.bin
    3.58 kB
    xet
    Upload 5 files almost 3 years ago