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GhylB
/
Sentiment_Analysis_BERT_Based_MODEL

Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use GhylB/Sentiment_Analysis_BERT_Based_MODEL with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="GhylB/Sentiment_Analysis_BERT_Based_MODEL")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("GhylB/Sentiment_Analysis_BERT_Based_MODEL")
    model = AutoModelForSequenceClassification.from_pretrained("GhylB/Sentiment_Analysis_BERT_Based_MODEL")
  • Notebooks
  • Google Colab
  • Kaggle
Sentiment_Analysis_BERT_Based_MODEL / runs
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  • 1 contributor
History: 6 commits
GhylB's picture
GhylB
GhylB/Sentiment_Analysis_BERT_Based_MODEL
f1cbe2b about 3 years ago
  • May07_20-10-46_d2d2afe4bb13
    GhylB/Sentiment_Analysis_BERT_Based_MODEL about 3 years ago