Instructions to use cragtmp/task1s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task1s with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data1/chenjiazun/LLM/Llama-3.2-11B-Vision-Instruct") model = PeftModel.from_pretrained(base_model, "cragtmp/task1s") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52c10a7dbeddb02c69cc4ce915b2665fe02eba29741e7d464e836e27a5dabb75
- Size of remote file:
- 14.5 kB
- SHA256:
- 43370d81980e9f30fccc9265a8605f5baed271d1b6df4bef2dea94d03f8e4589
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