Instructions to use chauhoang/63bba9fa-cb0a-43f8-affe-631d1d21f632 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/63bba9fa-cb0a-43f8-affe-631d1d21f632 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-14B-Chat") model = PeftModel.from_pretrained(base_model, "chauhoang/63bba9fa-cb0a-43f8-affe-631d1d21f632") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d245882018d7e34c02d4a40c6a7c9b12abff9b6a11a966b47098d2e52dbf8fa0
- Size of remote file:
- 6.78 kB
- SHA256:
- 4738a4d61a731cce8fff9d4ec68f930a4072114dad6edb96c5c4a03358a30a88
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.