Instructions to use surakarteh/758a6077-53fa-4bec-98bf-9f78af1b5e42 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use surakarteh/758a6077-53fa-4bec-98bf-9f78af1b5e42 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama-chat") model = PeftModel.from_pretrained(base_model, "surakarteh/758a6077-53fa-4bec-98bf-9f78af1b5e42") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a80fa6854b45a13738ab4bd624f3afbcdf26de1f2a8269e7207109cba449329
- Size of remote file:
- 51.6 MB
- SHA256:
- 0b0cb238f267568e64cfa6b5389cfa2190dac1c980058ff2e4f49a7d46712ce3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.