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anandohm
/
Ohm_Santhali

Text Classification
Transformers
Hindi
Sanskrit
xlm-roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use anandohm/Ohm_Santhali with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="anandohm/Ohm_Santhali")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("anandohm/Ohm_Santhali")
    model = AutoModelForSequenceClassification.from_pretrained("anandohm/Ohm_Santhali", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
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  • README.md
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  • Santhali.model
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  • config.json
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  • sentencepiece.bpe.model
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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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