Instructions to use cragtmp/task3f2-850 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task3f2-850 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/task3f2-850") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c183763255984b97bf8772cc2a83ddb400ec9b9a5d8d7611198ddae4dff92e93
- Size of remote file:
- 1.06 kB
- SHA256:
- 60f63fc410cf46c866112e8133afed2545859ca2e1e8eb7708996711f192a1e3
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