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SSEF-HG-AC
/
temp_model

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

Instructions to use SSEF-HG-AC/temp_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SSEF-HG-AC/temp_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SSEF-HG-AC/temp_model")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SSEF-HG-AC/temp_model")
    model = AutoModelForSequenceClassification.from_pretrained("SSEF-HG-AC/temp_model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
temp_model / runs
9.74 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
UserGnalin's picture
UserGnalin
End of training
234a83e almost 3 years ago
  • Dec18_13-46-48_da7ac15f7de5
    End of training almost 3 years ago
  • Dec18_14-02-19_da7ac15f7de5
    End of training almost 3 years ago