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Seema09
/
finetuning-sentiment-model-Test

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
3

Instructions to use Seema09/finetuning-sentiment-model-Test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Seema09/finetuning-sentiment-model-Test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Seema09/finetuning-sentiment-model-Test")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Seema09/finetuning-sentiment-model-Test")
    model = AutoModelForSequenceClassification.from_pretrained("Seema09/finetuning-sentiment-model-Test", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
finetuning-sentiment-model-Test / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Seema09's picture
Seema09
End of training
f01fb9e about 4 years ago
  • Jun16_05-57-56_2564c4d9ff17
    End of training about 4 years ago
  • Jun16_13-08-08_80d655c3845c
    End of training about 4 years ago