Instructions to use Chat-Error/Llama-3-Kimiko-temp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Chat-Error/Llama-3-Kimiko-temp with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "Chat-Error/Llama-3-Kimiko-temp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64df55369dd1563a47d72a49c0ba3e6c0cead79e09b6e5c3ca8eda8d44b7a07b
- Size of remote file:
- 5.75 kB
- SHA256:
- 450a1779c803ebf5dadfcceb1155f014cb6b0959ded3be1fb8dbbd1ac49dc857
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.