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arham6
/
tmp

PEFT
TensorBoard
Safetensors
trl
sft
unsloth
Generated from Trainer
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Instructions to use arham6/tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use arham6/tmp with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-llm-7b-chat")
    model = PeftModel.from_pretrained(base_model, "arham6/tmp")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Unsloth Studio new

    How to use arham6/tmp 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 arham6/tmp 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 arham6/tmp to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for arham6/tmp to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="arham6/tmp",
        max_seq_length=2048,
    )
tmp / tmp4b1284yv
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  • 1 contributor
History: 1 commit
arham6's picture
arham6
arham6/deepseek7b_finetuned
5ca03b8 verified almost 2 years ago
  • __pycache__
    arham6/deepseek7b_finetuned almost 2 years ago
  • _remote_module_non_scriptable.py
    2.36 kB
    arham6/deepseek7b_finetuned almost 2 years ago