Instructions to use cragtmp/task3f2-150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task3f2-150 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/task3f2-150") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- efdd2664e3005397f85c784b361d828ef0f7967e693f92846534530ac0d64930
- Size of remote file:
- 52.5 MB
- SHA256:
- 4b295bd3ba86e0fbfac5a3dc6d844083ac05a6cd607d03afe149efc475b00d78
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