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jordyvl
/
test_implementation

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

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

  • Libraries
  • Transformers

    How to use jordyvl/test_implementation with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="jordyvl/test_implementation")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("jordyvl/test_implementation")
    model = AutoModelForSequenceClassification.from_pretrained("jordyvl/test_implementation")
  • Notebooks
  • Google Colab
  • Kaggle
test_implementation / runs
73.5 kB
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  • 1 contributor
History: 1 commit
jordyvl's picture
jordyvl
Saving best model of test_implementation to hub
e698e39 verified over 2 years ago
  • Feb04_16-35-16_jordy-OMEN
    Saving best model of test_implementation to hub over 2 years ago
  • Feb04_16-49-14_jordy-OMEN
    Saving best model of test_implementation to hub over 2 years ago
  • Feb04_17-25-21_jordy-OMEN
    Saving best model of test_implementation to hub over 2 years ago
  • Feb04_17-38-26_jordy-OMEN
    Saving best model of test_implementation to hub over 2 years ago
  • Feb04_18-14-18_jordy-OMEN
    Saving best model of test_implementation to hub over 2 years ago
  • Feb04_18-22-25_jordy-OMEN
    Saving best model of test_implementation to hub over 2 years ago