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agk4444
/
aditya369-lora

Text Classification
PEFT
Safetensors
Transformers
English
lora
emotion-detection
Model card Files Files and versions
xet
Community

Instructions to use agk4444/aditya369-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use agk4444/aditya369-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSequenceClassification
    
    base_model = AutoModelForSequenceClassification.from_pretrained("Qwen/Qwen3-4B")
    model = PeftModel.from_pretrained(base_model, "agk4444/aditya369-lora")
  • Transformers

    How to use agk4444/aditya369-lora with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="agk4444/aditya369-lora")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("agk4444/aditya369-lora", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
aditya369-lora
11.4 MB
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  • 1 contributor
History: 6 commits
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agk4444
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  • adapter_config.json
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  • adapter_model.safetensors
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  • tokenizer.json
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  • tokenizer_config.json
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  • training_args.bin
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