Instructions to use mrHungddddh/21b7fa6c-6c15-4bea-927f-8ca2c449d239 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mrHungddddh/21b7fa6c-6c15-4bea-927f-8ca2c449d239 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "mrHungddddh/21b7fa6c-6c15-4bea-927f-8ca2c449d239") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e0531c647634a5b0b6adf89708b3ea2dbb149e531f093b23460be9b861fa673
- Size of remote file:
- 39.3 MB
- SHA256:
- f74ec1d78f0566dc81e99246b8c1a82bfd3dc4fb3bfbfea12cf7605d70411c46
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.