Instructions to use phunghuy159/test_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use phunghuy159/test_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-0.5B") model = PeftModel.from_pretrained(base_model, "phunghuy159/test_lora") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from phunghuy159/test_lora: direct link, hf CLI and curl.
- Browser
- Download file 4.41 MB
-
https://huggingface.co/phunghuy159/test_lora/resolve/main/optimizer.pt
- Command line
-
hf download hf://phunghuy159/test_lora/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/phunghuy159/test_lora/resolve/main/optimizer.pt
4.41 MB
- Xet hash:
- 84586e729d1c9131979b91e76dec01a116e04d7ad7e0ed6ca41c38c7d8de971c
- Size of remote file:
- 4.41 MB
- SHA256:
- 16a083355ed419e6afb4446b03b79554f75e03625bfdd2a3a465b11f71af38de
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