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monish-sd-7
/
E-Commerce-Customer-Intent-Detection-Model-Finetuned

Text Classification
Transformers
Safetensors
English
distilbert
intent detection
distilBert
E-commerce
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use monish-sd-7/E-Commerce-Customer-Intent-Detection-Model-Finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use monish-sd-7/E-Commerce-Customer-Intent-Detection-Model-Finetuned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="monish-sd-7/E-Commerce-Customer-Intent-Detection-Model-Finetuned")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("monish-sd-7/E-Commerce-Customer-Intent-Detection-Model-Finetuned")
    model = AutoModelForSequenceClassification.from_pretrained("monish-sd-7/E-Commerce-Customer-Intent-Detection-Model-Finetuned", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
E-Commerce-Customer-Intent-Detection-Model-Finetuned
1.52 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
monish-sd-7's picture
monish-sd-7
initial commit
3cfafe5 verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago