Instructions to use cragtmp/task1add3-200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task1add3-200 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/task1add3-200") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60339a5cdd082125febd7b459af6a406e111d05006f6fd09dc420c9dff224a88
- Size of remote file:
- 1.06 kB
- SHA256:
- 1344cfd8dcac1e923f7e5eaa158ff7b687093329dde7d76da08962b2c180b91b
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