Instructions to use cragtmp/task3f2-650 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task3f2-650 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/task3f2-650") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 209be30ad5467a0ad38ba40923e9121d1e415e5a016420a5f8ceb22762248562
- Size of remote file:
- 1.06 kB
- SHA256:
- 1a64f1bd2ccd0bd308904a8fa3ac64960175792a9bd4544c9d2abc11ed1e2f43
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