Instructions to use mtzig/debug_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mtzig/debug_test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyPixel/small-llama2") model = PeftModel.from_pretrained(base_model, "mtzig/debug_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b15f48eb307ac367f2ec23b2149c1fb356f5c586760273f95e6e973d82e0db95
- Size of remote file:
- 5.24 kB
- SHA256:
- 7104657a3a775262b9f821d30163b8cb0a53129465c1e5c5d23a3645ea1cf4fa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.