Instructions to use eeeebbb2/9affdde3-b794-49ba-807f-c318c64bc1be with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/9affdde3-b794-49ba-807f-c318c64bc1be with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceM4/tiny-random-LlamaForCausalLM") model = PeftModel.from_pretrained(base_model, "eeeebbb2/9affdde3-b794-49ba-807f-c318c64bc1be") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 725500fe3dc35d74d162ae4704d235420b9d7c99feb64615fc7cbe6c31b92219
- Size of remote file:
- 104 kB
- SHA256:
- 028f2dcaf151fa895d2fde93e0966933a24e7c4bca1d8ea41de0d986b2ec60cc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.