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

rainerberger
/
planetn-model

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

Instructions to use rainerberger/planetn-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use rainerberger/planetn-model with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2")
    model = PeftModel.from_pretrained(base_model, "rainerberger/planetn-model")
  • Notebooks
  • Google Colab
  • Kaggle
planetn-model / runs
5.94 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
rainerberger's picture
rainerberger
Training in progress, step 10
ecd1c6f over 2 years ago
  • Apr07_13-44-13_986d7bb385bf
    Training in progress, step 10 over 2 years ago