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rcade
/
test_falcon_model_learning

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

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

  • Libraries
  • Transformers

    How to use rcade/test_falcon_model_learning with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="rcade/test_falcon_model_learning")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("rcade/test_falcon_model_learning")
    model = AutoModelForSequenceClassification.from_pretrained("rcade/test_falcon_model_learning")
  • Notebooks
  • Google Colab
  • Kaggle
test_falcon_model_learning / runs
23.9 kB
Ctrl+K
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  • 1 contributor
History: 4 commits
rcade's picture
rcade
End of training
8b1d43b verified over 2 years ago
  • Jan25_09-19-15_ip-172-31-57-128
    Training in progress, step 500 over 2 years ago
  • Jan25_09-34-42_ip-172-31-57-128
    Training in progress, step 500 over 2 years ago
  • Jan25_09-36-14_ip-172-31-57-128
    rcade/test_falcon_model_learning over 2 years ago
  • Jan25_12-02-01_ip-172-31-57-128
    End of training over 2 years ago