Instructions to use cragtmp/3gt6-650 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/3gt6-650 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/3gt6-650") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32929b437599cd972423e9f6b1886d567c1df179b596f410b18b71caf1209d1a
- Size of remote file:
- 8.7 kB
- SHA256:
- 6aa23b881effd4ef7a2a6b41095e826a9ddb9636333fa96519a4e1b654d7c44b
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