Instructions to use sergioalves/4ec7ac8c-0ff7-4dbe-a6e5-dd3c993690bb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/4ec7ac8c-0ff7-4dbe-a6e5-dd3c993690bb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/codegemma-2b") model = PeftModel.from_pretrained(base_model, "sergioalves/4ec7ac8c-0ff7-4dbe-a6e5-dd3c993690bb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74e965b169df4cbed963e45e3fdb467ea69721624ddc1bb613fe3cfa5a3e6b4e
- Size of remote file:
- 157 MB
- SHA256:
- 80f5b1904b3fb73c5f04b223a1dcb32594b60d246aada9841360fe968794021f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.