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asvs
/
phi3-yoda

Transformers
Safetensors
Generated from Trainer
sft
trl
Model card Files Files and versions
xet
Community

Instructions to use asvs/phi3-yoda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use asvs/phi3-yoda with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("asvs/phi3-yoda", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
phi3-yoda
54 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
asvs's picture
asvs
End of training
32d91dc verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    1.47 kB
    End of training about 2 months ago
  • adapter_config.json
    905 Bytes
    End of training about 2 months ago
  • adapter_model.safetensors
    50.4 MB
    xet
    End of training about 2 months ago
  • chat_template.jinja
    407 Bytes
    End of training about 2 months ago
  • special_tokens_map.json
    447 Bytes
    End of training about 2 months ago
  • tokenizer.json
    3.62 MB
    End of training about 2 months ago
  • tokenizer_config.json
    2.92 kB
    End of training about 2 months ago
  • training_args.bin
    5.75 kB
    xet
    End of training about 2 months ago