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Group209
/
Sentiment_Analysis

Text Classification
Transformers
English
bert
sentiment
sentiment-analysis
Transformateurs
Model card Files Files and versions
xet
Community
1

Instructions to use Group209/Sentiment_Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Group209/Sentiment_Analysis with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Group209/Sentiment_Analysis")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Group209/Sentiment_Analysis", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Sentiment_Analysis
501 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 50 commits
MarieAngeA13's picture
MarieAngeA13
Upload tokenizer_config.json
1f5c0dc about 3 years ago
  • .gitattributes
    1.59 kB
    Upload tripadvisor_hotel_reviews.csv about 3 years ago
  • README.md
    1.91 kB
    Update README.md about 3 years ago
  • Sentiment_analysis_with_bert.py
    13.6 kB
    Update Sentiment_analysis_with_bert.py about 3 years ago
  • config.json
    398 Bytes
    Update config.json about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.FloatStorage",
    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    499 MB
    xet
    Upload pytorch_model.bin about 3 years ago
  • requirements.txt
    115 Bytes
    Upload requirements.txt about 3 years ago
  • tokenizer.json
    2.11 MB
    Upload tokenizer.json about 3 years ago
  • tokenizer_config.json
    380 Bytes
    Upload tokenizer_config.json about 3 years ago