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faizack
/
Fine_Tune_Roberta-base-sentiment

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

Instructions to use faizack/Fine_Tune_Roberta-base-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use faizack/Fine_Tune_Roberta-base-sentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="faizack/Fine_Tune_Roberta-base-sentiment")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("faizack/Fine_Tune_Roberta-base-sentiment")
    model = AutoModelForSequenceClassification.from_pretrained("faizack/Fine_Tune_Roberta-base-sentiment")
  • Notebooks
  • Google Colab
  • Kaggle
Fine_Tune_Roberta-base-sentiment
502 MB
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  • 1 contributor
History: 4 commits
faizack's picture
faizack
Upload requirement
597ebd2 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    21 Bytes
    initial commit about 2 years ago
  • app.py
    1.07 kB
    added app about 2 years ago
  • config.json
    953 Bytes
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  • merges.txt
    456 kB
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  • model.safetensors
    499 MB
    xet
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  • requirements.txt
    117 Bytes
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  • special_tokens_map.json
    958 Bytes
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  • tokenizer.json
    2.11 MB
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  • tokenizer_config.json
    1.24 kB
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  • vocab.json
    798 kB
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