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VERSIL91
/
642d2c26-6823-4379-a98d-06abaaab8329

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

Instructions to use VERSIL91/642d2c26-6823-4379-a98d-06abaaab8329 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use VERSIL91/642d2c26-6823-4379-a98d-06abaaab8329 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-random-GemmaForCausalLM")
    model = PeftModel.from_pretrained(base_model, "VERSIL91/642d2c26-6823-4379-a98d-06abaaab8329")
  • Notebooks
  • Google Colab
  • Kaggle
642d2c26-6823-4379-a98d-06abaaab8329
77.2 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
VERSIL91's picture
VERSIL91
End of training
a63cfd5 verified over 1 year ago
  • last-checkpoint
    Training in progress, step 5, checkpoint over 1 year ago
  • .gitattributes
    1.57 kB
    Training in progress, step 2 over 1 year ago
  • README.md
    4.04 kB
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  • adapter_config.json
    737 Bytes
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  • adapter_model.bin
    14.4 kB
    xet
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  • adapter_model.safetensors
    10.6 kB
    xet
    Training in progress, step 2 over 1 year ago
  • config.json
    755 Bytes
    Training in progress, step 2 over 1 year ago
  • special_tokens_map.json
    555 Bytes
    Training in progress, step 2 over 1 year ago
  • tokenizer.json
    34.3 MB
    xet
    Training in progress, step 2 over 1 year ago
  • tokenizer.model
    4.24 MB
    xet
    Training in progress, step 2 over 1 year ago
  • tokenizer_config.json
    1.62 kB
    Training in progress, step 2 over 1 year ago
  • training_args.bin
    6.78 kB
    xet
    Training in progress, step 2 over 1 year ago