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nadim365
/
testV1

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

Instructions to use nadim365/testV1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nadim365/testV1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="nadim365/testV1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("nadim365/testV1")
    model = AutoModelForSequenceClassification.from_pretrained("nadim365/testV1")
  • Notebooks
  • Google Colab
  • Kaggle
testV1 / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
nadim365's picture
nadim365
Training in progress, epoch 2
736ea76 over 2 years ago
  • Dec03_04-45-51_ffbd40711a38
    Training in progress, epoch 2 over 2 years ago