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mpreda
/
test_dir

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

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

  • Libraries
  • Transformers

    How to use mpreda/test_dir with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mpreda/test_dir")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mpreda/test_dir")
    model = AutoModelForSequenceClassification.from_pretrained("mpreda/test_dir")
  • Notebooks
  • Google Colab
  • Kaggle
test_dir / runs
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  • 1 contributor
History: 1 commit
mpreda's picture
mpreda
test_model
87bc199 verified 4 months ago
  • Jan07_19-05-36_e30f307e82bf
    test_model 4 months ago
  • Jan07_19-06-06_e30f307e82bf
    test_model 4 months ago
  • Jan07_19-08-30_e30f307e82bf
    test_model 4 months ago