Instructions to use cragtmp/task1add3-100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task1add3-100 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/task1add3-100") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31244310b6e3f6143c19963a5a5f71851398976ebf32a1f17d8c7855fa1bfbbc
- Size of remote file:
- 1.06 kB
- SHA256:
- 0584c06f40cfe30eaecdf30e28b66f043908f0cfb47a74901a6044be0cac7ba5
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