Instructions to use cragtmp/task05rd2-450 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task05rd2-450 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/task05rd2-450") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d55c58d083e380ec302d1429abca3356e8ccf6892907fbf0c132f68e30e54643
- Size of remote file:
- 14.2 kB
- SHA256:
- 964771ea4d152605618c22273abbcef8154a9735e5ca07daff1650a42df501c8
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