Instructions to use Aivesa/d037a536-e2d0-4e2b-9ac6-efaaacbaa2df with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Aivesa/d037a536-e2d0-4e2b-9ac6-efaaacbaa2df with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B") model = PeftModel.from_pretrained(base_model, "Aivesa/d037a536-e2d0-4e2b-9ac6-efaaacbaa2df") - Notebooks
- Google Colab
- Kaggle
Improve language tag
#1
by lbourdois - opened
Hi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.