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floflodebilbao
/
Lora_LED_sum_challenge

PEFT
TensorBoard
Safetensors
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • PEFT

    How to use floflodebilbao/Lora_LED_sum_challenge with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSeq2SeqLM
    
    base_model = AutoModelForSeq2SeqLM.from_pretrained("allenai/led-base-16384")
    model = PeftModel.from_pretrained(base_model, "floflodebilbao/Lora_LED_sum_challenge")
  • Notebooks
  • Google Colab
  • Kaggle
Lora_LED_sum_challenge
7.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
floflodebilbao's picture
floflodebilbao
End of training
29a754e verified about 1 year ago
  • runs
    End of training about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.15 kB
    End of training about 1 year ago
  • adapter_config.json
    809 Bytes
    End of training about 1 year ago
  • adapter_model.safetensors
    2.37 MB
    xet
    End of training about 1 year ago
  • merges.txt
    456 kB
    End of training about 1 year ago
  • special_tokens_map.json
    957 Bytes
    End of training about 1 year ago
  • tokenizer.json
    3.56 MB
    End of training about 1 year ago
  • tokenizer_config.json
    1.24 kB
    End of training about 1 year ago
  • training_args.bin
    5.91 kB
    xet
    End of training about 1 year ago
  • vocab.json
    798 kB
    End of training about 1 year ago