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dnzblgn
/
Customer-Reviews-Classification

Text Classification
Transformers
Safetensors
English
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use dnzblgn/Customer-Reviews-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dnzblgn/Customer-Reviews-Classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="dnzblgn/Customer-Reviews-Classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("dnzblgn/Customer-Reviews-Classification")
    model = AutoModelForSequenceClassification.from_pretrained("dnzblgn/Customer-Reviews-Classification")
  • Notebooks
  • Google Colab
  • Kaggle
Customer-Reviews-Classification
269 MB
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  • 1 contributor
History: 21 commits
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dnzblgn
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  • .gitattributes
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  • README.md
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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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