Text Generation
PEFT
Safetensors
French
English
cybersecurity
gdpr
rgpd
data-protection
privacy
compliance
dpo
dpia
consent
breach-notification
fine-tuned
qlora
lora
conversational
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
- Xet hash:
- b3966f76b46205eeb7ebdf90dc3a5a7df54484ae8bb5b390d2af14f75496e4be
- Size of remote file:
- 6.29 kB
- SHA256:
- 485942a0b6d93159a267f3002cb257b554a15091bbc469edb9422f8c19152230
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