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

headless-start
/
peft-lora-llm

Text Classification
Transformers
PyTorch
lora
parameter-efficient-fine-tuning
Model card Files Files and versions
xet
Community

Instructions to use headless-start/peft-lora-llm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use headless-start/peft-lora-llm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="headless-start/peft-lora-llm")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("headless-start/peft-lora-llm", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
peft-lora-llm / checkpoints
1.49 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
headless-start's picture
headless-start
add trained checkpoints, results and model card
2fac134 verified 20 days ago
  • best.pt
    3.33 MB
    xet
    add trained checkpoints, results and model card 20 days ago
  • best_full.pt
    1.45 GB
    xet
    add trained checkpoints, results and model card 20 days ago
  • best_head.pt
    17 kB
    xet
    add trained checkpoints, results and model card 20 days ago
  • best_lora.pt
    3.34 MB
    xet
    add trained checkpoints, results and model card 20 days ago
  • best_r16_qv.pt
    6.61 MB
    xet
    add trained checkpoints, results and model card 20 days ago
  • best_r32_qv.pt
    13.2 MB
    xet
    add trained checkpoints, results and model card 20 days ago
  • best_r4_qv.pt
    1.7 MB
    xet
    add trained checkpoints, results and model card 20 days ago
  • best_r8_k.pt
    1.35 MB
    xet
    add trained checkpoints, results and model card 20 days ago
  • best_r8_q.pt
    2 MB
    xet
    add trained checkpoints, results and model card 20 days ago
  • best_r8_qk.pt
    3.34 MB
    xet
    add trained checkpoints, results and model card 20 days ago
  • best_r8_qkv.pt
    4.67 MB
    xet
    add trained checkpoints, results and model card 20 days ago
  • best_r8_qv.pt
    3.34 MB
    xet
    add trained checkpoints, results and model card 20 days ago
  • best_r8_v.pt
    1.35 MB
    xet
    add trained checkpoints, results and model card 20 days ago