Instructions to use cragtmp/taskgt705-250 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/taskgt705-250 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/taskgt705-250") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4af02c26a2471477dd58fef21916faca60e5f1744eb43946888850c178559b3e
- Size of remote file:
- 1.06 kB
- SHA256:
- 94ac314d5f2fd0912d6fc0b3afd53c8469e09dc77f39d8838ef54b14bb8e08d5
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