Instructions to use crhysc/diffractgpt_jarvis_alex123_cod_element_list with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use crhysc/diffractgpt_jarvis_alex123_cod_element_list with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-bnb-4bit") model = PeftModel.from_pretrained(base_model, "crhysc/diffractgpt_jarvis_alex123_cod_element_list") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d32171aa882fb87fa92ec139c564f1d6d1a32a7bf500f7f84577954f9deed5f
- Size of remote file:
- 5.97 kB
- SHA256:
- 815f2e7bbdf89f3d8db71e90cea558a893973ab4d8f0f1eb4f894ca89ed21e9e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.