Instructions to use mrHungddddh/cfd9fad8-b6eb-4ee0-bcfd-57d3eb7b9389 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrHungddddh/cfd9fad8-b6eb-4ee0-bcfd-57d3eb7b9389 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-0.5B") model = PeftModel.from_pretrained(base_model, "mrHungddddh/cfd9fad8-b6eb-4ee0-bcfd-57d3eb7b9389") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b91ee40a91d5cc23c3166c212014f89dc9614091dba6497b0d8fdcdfce79bba0
- Size of remote file:
- 6.78 kB
- SHA256:
- ea060ab680f583b2f3cccbadd6ce9d20b7ee0a1f2a84a45c44b3c63393931b04
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.