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rlimonta
/
sentiment_analysis_model

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

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

  • Libraries
  • Transformers

    How to use rlimonta/sentiment_analysis_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="rlimonta/sentiment_analysis_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("rlimonta/sentiment_analysis_model")
    model = AutoModelForSequenceClassification.from_pretrained("rlimonta/sentiment_analysis_model")
  • Notebooks
  • Google Colab
  • Kaggle
sentiment_analysis_model / runs
7.31 kB
Ctrl+K
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  • 1 contributor
History: 2 commits
rlimonta's picture
rlimonta
Training in progress, epoch 2
f0c8b96 verified 4 months ago
  • Jan13_18-38-36_020a4314567f
    Training in progress, epoch 2 4 months ago