Instructions to use cragtmp/re400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/re400 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data/LLM/Llama-3.2-11B-Vision-Instruct") model = PeftModel.from_pretrained(base_model, "cragtmp/re400") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d3479bfac8de521f71f42d2de16e3bcd84336d62ac8a3fc526d32807b588015
- Size of remote file:
- 5.62 kB
- SHA256:
- 84be915ac356453be8155258c27d9140e543c98c46b31c533caab17efad8a66f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.