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Rodo-Sami
/
1e4d9a96-1e67-4e04-9a16-545c4c1d68a1

PEFT
Safetensors
llama
axolotl
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use Rodo-Sami/1e4d9a96-1e67-4e04-9a16-545c4c1d68a1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Rodo-Sami/1e4d9a96-1e67-4e04-9a16-545c4c1d68a1 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceM4/tiny-random-LlamaForCausalLM")
    model = PeftModel.from_pretrained(base_model, "Rodo-Sami/1e4d9a96-1e67-4e04-9a16-545c4c1d68a1")
  • Notebooks
  • Google Colab
  • Kaggle
1e4d9a96-1e67-4e04-9a16-545c4c1d68a1
8.84 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
Rodo-Sami's picture
Rodo-Sami
End of training
956aa26 verified almost 2 years ago
  • last-checkpoint
    Training in progress, step 5, checkpoint almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    3.57 kB
    End of training almost 2 years ago
  • adapter_config.json
    744 Bytes
    Training in progress, step 5 almost 2 years ago
  • adapter_model.bin
    104 kB
    xet
    End of training almost 2 years ago
  • adapter_model.safetensors
    97.7 kB
    xet
    Training in progress, step 5 almost 2 years ago
  • config.json
    795 Bytes
    Training in progress, step 5 almost 2 years ago
  • special_tokens_map.json
    552 Bytes
    Training in progress, step 5 almost 2 years ago
  • tokenizer.json
    3.62 MB
    Training in progress, step 5 almost 2 years ago
  • tokenizer.model
    500 kB
    xet
    Training in progress, step 5 almost 2 years ago
  • tokenizer_config.json
    1.38 kB
    Training in progress, step 5 almost 2 years ago
  • training_args.bin
    6.78 kB
    xet
    Training in progress, step 5 almost 2 years ago