Instructions to use cragtmp/task3f2-800 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task3f2-800 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/task3f2-800") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ddcd73e5ba1aab75ce8bb2249119c0bb3ae4fdd7f7c6b82c3bf65b28ec4870f6
- Size of remote file:
- 1.06 kB
- SHA256:
- cedabcbf9285c5e6480d5f4772e9c7abe4aac4466d5ff65c425cb42cb5729cd6
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