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yashasvijadav03
/
hinglish-intent-classifier

Text Classification
PEFT
Safetensors
Transformers
Hindi
English
lora
intent-classification
hinglish
code-mixed
nlu
voice-agent
Model card Files Files and versions
xet
Community

Instructions to use yashasvijadav03/hinglish-intent-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use yashasvijadav03/hinglish-intent-classifier with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSequenceClassification
    
    base_model = AutoModelForSequenceClassification.from_pretrained("distilbert-base-multilingual-cased")
    model = PeftModel.from_pretrained(base_model, "yashasvijadav03/hinglish-intent-classifier")
  • Transformers

    How to use yashasvijadav03/hinglish-intent-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="yashasvijadav03/hinglish-intent-classifier")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("yashasvijadav03/hinglish-intent-classifier", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
hinglish-intent-classifier
6.49 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
yashasvijadav03's picture
yashasvijadav03
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  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    3.5 kB
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  • adapter_config.json
    1.16 kB
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  • adapter_model.safetensors
    3.56 MB
    xet
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  • tokenizer.json
    2.92 MB
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  • tokenizer_config.json
    367 Bytes
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