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

  • Log In
  • Sign Up

AYI-NEDJIMI
/
RGPD-Expert-1.5B

Text Generation
PEFT
Safetensors
French
English
cybersecurity
gdpr
rgpd
data-protection
privacy
compliance
dpo
dpia
consent
breach-notification
fine-tuned
qlora
lora
conversational
Model card Files Files and versions
xet
Community
1

Instructions to use AYI-NEDJIMI/RGPD-Expert-1.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use AYI-NEDJIMI/RGPD-Expert-1.5B with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("/home/deeptechadmin/hf/models/qwen2.5-1.5b-instruct")
    model = PeftModel.from_pretrained(base_model, "AYI-NEDJIMI/RGPD-Expert-1.5B")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

QLoRA Fine-tuning Guide: From Open-Source LLMs to Domain Experts on Consumer GPUs

#1 opened 4 months ago by
AYI-NEDJIMI
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs