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RadAlienware
/
outputs

PEFT
TensorBoard
Safetensors
trl
sft
unsloth
Generated from Trainer
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Instructions to use RadAlienware/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use RadAlienware/outputs with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/phi-3-mini-4k-instruct-bnb-4bit")
    model = PeftModel.from_pretrained(base_model, "RadAlienware/outputs")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Unsloth Studio new

    How to use RadAlienware/outputs 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 RadAlienware/outputs 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 RadAlienware/outputs to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for RadAlienware/outputs to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="RadAlienware/outputs",
        max_seq_length=2048,
    )
outputs / runs
36.7 kB
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  • 1 contributor
History: 2 commits
RadAlienware's picture
RadAlienware
wellness10/RAFT_DATASET1
a39fa61 verified almost 2 years ago
  • Jul08_06-35-29_ip-10-192-11-221
    wellness10/RAFT_DATASET1 almost 2 years ago
  • Jul11_20-47-49_ip-10-192-10-212
    wellness10/RAFT_DATASET1 almost 2 years ago