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l3cube-pune
/
marathi-topic-all-doc-v2

Text Classification
Transformers
Safetensors
Marathi
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
3

Instructions to use l3cube-pune/marathi-topic-all-doc-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use l3cube-pune/marathi-topic-all-doc-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="l3cube-pune/marathi-topic-all-doc-v2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/marathi-topic-all-doc-v2")
    model = AutoModelForSequenceClassification.from_pretrained("l3cube-pune/marathi-topic-all-doc-v2")
  • Notebooks
  • Google Colab
  • Kaggle
marathi-topic-all-doc-v2
960 MB
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  • 2 contributors
History: 8 commits
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l3cube-pune
Update README.md
b19d7f8 verified about 2 years ago
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  • config.json
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  • model.safetensors
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.txt
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