Instructions to use TinyPixel/chatml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TinyPixel/chatml with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Deci/DeciLM-7B") model = PeftModel.from_pretrained(base_model, "TinyPixel/chatml") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e77411bf919d13a1ab2476d974196cd88cdf286f8db594c9a8fcd36a2a0bacf
- Size of remote file:
- 4.73 kB
- SHA256:
- 02045bc1c46d17ce58eb334b64cbaa4a6a3a3bea064269b2c735894392581f98
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.