Instructions to use cragtmp/task2-noikd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task2-noikd 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/task2-noikd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fe9df44c6c4a573c70487a9b4fb4e48d98b91e18e533ec01dd8048e74ccaa61
- Size of remote file:
- 105 MB
- SHA256:
- d7ec481c4d37c103e1de517754ba41301fd3c210231e731eb85ccb27ee455d4f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.