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priyabrat
/
Distilbert_categorisation

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

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

  • Libraries
  • Transformers

    How to use priyabrat/Distilbert_categorisation with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="priyabrat/Distilbert_categorisation")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("priyabrat/Distilbert_categorisation")
    model = AutoModelForSequenceClassification.from_pretrained("priyabrat/Distilbert_categorisation")
  • Notebooks
  • Google Colab
  • Kaggle
Distilbert_categorisation
268 MB
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  • 1 contributor
History: 2 commits
priyabrat's picture
priyabrat
Upload 4 files
5503bcf about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    882 Bytes
    Upload 4 files about 3 years ago
  • pytorch_model.bin
    268 MB
    xet
    Upload 4 files about 3 years ago
  • tokenizer.json
    466 kB
    Upload 4 files about 3 years ago
  • tokenizer_config.json
    28 Bytes
    Upload 4 files about 3 years ago