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
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

adikuma
/
outputs

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

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

  • Libraries
  • Transformers

    How to use adikuma/outputs with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("adikuma/outputs", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Studio

    How to use adikuma/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 adikuma/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 adikuma/outputs to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for adikuma/outputs to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="adikuma/outputs",
        max_seq_length=2048,
    )
outputs / runs
37.2 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
ADITYA KUMAR
adi0308/llama-3.2-1B-sutdchat
ff17cac verified about 1 year ago
  • Apr23_07-12-53_b0717d1f7839
    Upload 4‑bit + LoRA SUTD‑QA chatbot about 1 year ago
  • Apr23_07-14-12_b0717d1f7839
    Upload 4‑bit + LoRA SUTD‑QA chatbot about 1 year ago
  • Apr23_07-15-00_b0717d1f7839
    Upload 4‑bit + LoRA SUTD‑QA chatbot about 1 year ago
  • Apr23_07-32-23_b0717d1f7839
    Upload 4‑bit + LoRA SUTD‑QA chatbot about 1 year ago
  • Apr23_07-46-04_b0717d1f7839
    adi0308/llama-3.2-1B-sutdchat about 1 year ago