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SE6446
/
KANLlama_RottenTomatoes

Text Classification
Transformers
TensorBoard
Safetensors
kanllama
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use SE6446/KANLlama_RottenTomatoes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SE6446/KANLlama_RottenTomatoes with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SE6446/KANLlama_RottenTomatoes")
    # Load model directly
    from transformers import AutoModelForSequenceClassification
    model = AutoModelForSequenceClassification.from_pretrained("SE6446/KANLlama_RottenTomatoes", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
KANLlama_RottenTomatoes
905 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
SE6446's picture
SE6446
Update config.json
79940f8 verified about 2 years ago
  • runs
    End of training about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    1.4 kB
    Update README.md about 2 years ago
  • config.json
    869 Bytes
    Update config.json about 2 years ago
  • configuration_kanllama.py
    9.57 kB
    Upload 2 files about 2 years ago
  • model.safetensors
    903 MB
    xet
    End of training about 2 years ago
  • modeling_kanllama.py
    12.7 kB
    Upload 2 files about 2 years ago
  • special_tokens_map.json
    437 Bytes
    End of training about 2 years ago
  • tokenizer.json
    1.84 MB
    End of training about 2 years ago
  • tokenizer.model
    500 kB
    xet
    End of training about 2 years ago
  • tokenizer_config.json
    1.32 kB
    End of training about 2 years ago
  • training_args.bin
    5.11 kB
    xet
    End of training about 2 years ago