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JS21
/
finetuning-sentiment-model-10000-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
3

Instructions to use JS21/finetuning-sentiment-model-10000-samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JS21/finetuning-sentiment-model-10000-samples with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="JS21/finetuning-sentiment-model-10000-samples")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("JS21/finetuning-sentiment-model-10000-samples")
    model = AutoModelForSequenceClassification.from_pretrained("JS21/finetuning-sentiment-model-10000-samples")
  • Notebooks
  • Google Colab
  • Kaggle
finetuning-sentiment-model-10000-samples / runs
59.8 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 10 commits
JS21's picture
JS21
Training in progress, epoch 3
87cc794 over 3 years ago
  • Mar13_21-39-38_28e95fc6d0b3
    End of training over 3 years ago
  • Mar13_22-37-38_28e95fc6d0b3
    Training in progress, epoch 0 over 3 years ago
  • Mar13_22-54-49_28e95fc6d0b3
    Training in progress, epoch 0 over 3 years ago
  • Mar13_22-55-11_28e95fc6d0b3
    Training in progress, epoch 0 over 3 years ago
  • Mar13_23-28-55_28e95fc6d0b3
    End of training over 3 years ago
  • Mar14_00-41-39_50f013f74e8c
    Training in progress, epoch 3 over 3 years ago