Instructions to use cragtmp/task3f2-700 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task3f2-700 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/task3f2-700") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de4a4ff381587d00f98a54ee6cd9ab0e008e38f4e3d7169a5d2094fac0685d91
- Size of remote file:
- 52.5 MB
- SHA256:
- f7ba06be2f772a5c2a943162abd04443f7bf1494c4ea4e7eee30b1b5a9de33c8
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