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Light-Dav
/
sentiment-analysis-full-project

Text Classification
Transformers
Safetensors
Spanish
English
bert
NLP
Bert
sentiment-analysis
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Light-Dav/sentiment-analysis-full-project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Light-Dav/sentiment-analysis-full-project with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Light-Dav/sentiment-analysis-full-project")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Light-Dav/sentiment-analysis-full-project")
    model = AutoModelForSequenceClassification.from_pretrained("Light-Dav/sentiment-analysis-full-project")
  • Notebooks
  • Google Colab
  • Kaggle
sentiment-analysis-full-project / notebooks
13.6 GB
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  • 1 contributor
History: 10 commits
Light-Dav's picture
Light-Dav
Add files using upload-large-folder tool
6f87e79 verified 12 months ago
  • .ipynb_checkpoints
    Add files using upload-large-folder tool 12 months ago
  • results
    Add files using upload-large-folder tool 12 months ago
  • sentiment-bert-model
    Add files using upload-large-folder tool 12 months ago
  • eda.ipynb
    72 kB
    Add files using upload-large-folder tool 12 months ago