Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

Dragon1218
/
lora-fine-tuning

Transformers
Safetensors
unsloth
Model card Files Files and versions
xet
Community

Instructions to use Dragon1218/lora-fine-tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Dragon1218/lora-fine-tuning with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Dragon1218/lora-fine-tuning", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Unsloth Studio new

    How to use Dragon1218/lora-fine-tuning with Unsloth Studio:

    Install Unsloth Studio (macOS, Linux, WSL)
    curl -fsSL https://unsloth.ai/install.sh | sh
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for Dragon1218/lora-fine-tuning to start chatting
    Install Unsloth Studio (Windows)
    irm https://unsloth.ai/install.ps1 | iex
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for Dragon1218/lora-fine-tuning to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for Dragon1218/lora-fine-tuning to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="Dragon1218/lora-fine-tuning",
        max_seq_length=2048,
    )
lora-fine-tuning
170 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
Dragon1218's picture
Dragon1218
Upload model trained with Unsloth
ccea0e4 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.18 kB
    Upload model trained with Unsloth about 2 years ago
  • adapter_config.json
    732 Bytes
    Upload model trained with Unsloth about 2 years ago
  • adapter_model.safetensors
    168 MB
    xet
    Upload model trained with Unsloth about 2 years ago
  • special_tokens_map.json
    552 Bytes
    Upload model trained with Unsloth about 2 years ago
  • tokenizer.json
    1.8 MB
    Upload model trained with Unsloth about 2 years ago
  • tokenizer.model
    493 kB
    xet
    Upload model trained with Unsloth about 2 years ago
  • tokenizer_config.json
    970 Bytes
    Upload model trained with Unsloth about 2 years ago