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SirbayC
/
SampleHFModel_IMDBReviewSentimentAnalysis

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

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

  • Libraries
  • Transformers

    How to use SirbayC/SampleHFModel_IMDBReviewSentimentAnalysis with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SirbayC/SampleHFModel_IMDBReviewSentimentAnalysis")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SirbayC/SampleHFModel_IMDBReviewSentimentAnalysis")
    model = AutoModelForSequenceClassification.from_pretrained("SirbayC/SampleHFModel_IMDBReviewSentimentAnalysis")
  • Notebooks
  • Google Colab
  • Kaggle
SampleHFModel_IMDBReviewSentimentAnalysis
269 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
SirbayC's picture
SirbayC
End of training
db8ada7 verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    1.64 kB
    End of training 6 months ago
  • config.json
    715 Bytes
    Training in progress, epoch 1 6 months ago
  • model.safetensors
    268 MB
    xet
    End of training 6 months ago
  • special_tokens_map.json
    132 Bytes
    Training in progress, epoch 1 6 months ago
  • tokenizer.json
    711 kB
    Training in progress, epoch 1 6 months ago
  • tokenizer_config.json
    1.28 kB
    Training in progress, epoch 1 6 months ago
  • training_args.bin
    5.84 kB
    xet
    Training in progress, epoch 1 6 months ago
  • vocab.txt
    232 kB
    Training in progress, epoch 1 6 months ago