Instructions to use 522H0134-NguyenNhatHuy/Qwen-1.5-1.8B-Chat-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 522H0134-NguyenNhatHuy/Qwen-1.5-1.8B-Chat-SFT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-1.8B-Chat") model = PeftModel.from_pretrained(base_model, "522H0134-NguyenNhatHuy/Qwen-1.5-1.8B-Chat-SFT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb6b57d79f3429e707362ae8753f1be6e92800dbaac7e89d2f948929304ef575
- Size of remote file:
- 11.4 MB
- SHA256:
- e49bebc2336dd0896ee055aa24e6bb65d80539b16751bb9798d6829db3ac4ea3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.