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arman1o1
/
movie_sentiment_model

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

Instructions to use arman1o1/movie_sentiment_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use arman1o1/movie_sentiment_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="arman1o1/movie_sentiment_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("arman1o1/movie_sentiment_model")
    model = AutoModelForSequenceClassification.from_pretrained("arman1o1/movie_sentiment_model")
  • Notebooks
  • Google Colab
  • Kaggle
movie_sentiment_model / final
269 MB
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  • 1 contributor
History: 1 commit
arman1o1's picture
arman1o1
arman1o1/food-rating-predictor-distilbert
2bde2e3 verified 5 months ago
  • config.json
    563 Bytes
    arman1o1/food-rating-predictor-distilbert 5 months ago
  • model.safetensors
    268 MB
    xet
    arman1o1/food-rating-predictor-distilbert 5 months ago
  • special_tokens_map.json
    125 Bytes
    arman1o1/food-rating-predictor-distilbert 5 months ago
  • tokenizer.json
    712 kB
    arman1o1/food-rating-predictor-distilbert 5 months ago
  • tokenizer_config.json
    1.23 kB
    arman1o1/food-rating-predictor-distilbert 5 months ago
  • vocab.txt
    232 kB
    arman1o1/food-rating-predictor-distilbert 5 months ago