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zanafi
/
sentiment_model

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

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

  • Libraries
  • Transformers

    How to use zanafi/sentiment_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="zanafi/sentiment_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("zanafi/sentiment_model")
    model = AutoModelForSequenceClassification.from_pretrained("zanafi/sentiment_model")
  • Notebooks
  • Google Colab
  • Kaggle
sentiment_model / runs
36.7 kB
Ctrl+K
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  • 2 contributors
History: 11 commits
zanafi's picture
zanafi
Model save
73ce3ea about 3 years ago
  • Jun23_06-53-03_ea8496c7943a
    Training in progress, epoch 1 about 3 years ago
  • Jun23_06-58-56_ea8496c7943a
    Training in progress, epoch 1 about 3 years ago
  • Jun23_07-02-47_ea8496c7943a
    Training in progress, epoch 1 about 3 years ago
  • Jun23_07-09-09_ea8496c7943a
    Training in progress, epoch 1 about 3 years ago
  • Jun23_07-11-15_ea8496c7943a
    Model save about 3 years ago
  • Jun23_07-45-42_ea8496c7943a
    Model save about 3 years ago
  • Jun23_07-55-29_ea8496c7943a
    Model save about 3 years ago