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bgoldfe2
/
finetuning-sentiment-model-3000-samples

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

Instructions to use bgoldfe2/finetuning-sentiment-model-3000-samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bgoldfe2/finetuning-sentiment-model-3000-samples with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="bgoldfe2/finetuning-sentiment-model-3000-samples")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("bgoldfe2/finetuning-sentiment-model-3000-samples")
    model = AutoModelForSequenceClassification.from_pretrained("bgoldfe2/finetuning-sentiment-model-3000-samples")
  • Notebooks
  • Google Colab
  • Kaggle
finetuning-sentiment-model-3000-samples / runs
4.77 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
bgoldfe2's picture
bgoldfe2
End of training
6370d12 almost 3 years ago
  • Jun30_16-29-42_88bc86be2fe2
    End of training almost 3 years ago