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akshatshaw
/
logs

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

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

  • Libraries
  • PEFT

    How to use akshatshaw/logs with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-3-mini-128k-instruct")
    model = PeftModel.from_pretrained(base_model, "akshatshaw/logs")
  • Notebooks
  • Google Colab
  • Kaggle
logs
103 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
akshatshaw's picture
akshatshaw
sentiment_model
bae3ea4 verified about 2 years ago
  • runs
    sentiment_model about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    1.64 kB
    sentiment_model about 2 years ago
  • adapter_config.json
    698 Bytes
    sentiment_model about 2 years ago
  • adapter_model.safetensors
    101 MB
    xet
    sentiment_model about 2 years ago
  • added_tokens.json
    293 Bytes
    sentiment_model about 2 years ago
  • special_tokens_map.json
    455 Bytes
    sentiment_model about 2 years ago
  • tokenizer.json
    1.84 MB
    sentiment_model about 2 years ago
  • tokenizer.model
    500 kB
    xet
    sentiment_model about 2 years ago
  • tokenizer_config.json
    3.2 kB
    sentiment_model about 2 years ago
  • training_args.bin
    4.98 kB
    xet
    sentiment_model about 2 years ago