Instructions to use cragtmp/task05rd2-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task05rd2-50 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/task05rd2-50") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d34a84b1359116699862a9be14a9e8d2c998e910113944d016f2f336f6c2590c
- Size of remote file:
- 8.63 kB
- SHA256:
- 8d6e7aa38d7b9243e5aa6f35f81c7761702583d1c76484ff540cfefab9c93572
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