Instructions to use ZappY-AI/logs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ZappY-AI/logs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b-it") model = PeftModel.from_pretrained(base_model, "ZappY-AI/logs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7167cb38bc5fb7beab46a461915ad72b1015625ea06e11d5fb6ee7dd85aa164
- Size of remote file:
- 4.86 kB
- SHA256:
- bc62e12529edf77aee3e662b96204f599bdb73a5d89c03f7d860a89589cc0fa2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.