Instructions to use cragtmp/taskgt705-300 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/taskgt705-300 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/taskgt705-300") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 135487d68f738102beef41453d20cc2120524b4b988176a34d2c8e9ec1d668a6
- Size of remote file:
- 1.06 kB
- SHA256:
- 1c22a5fbeb31fa9e829e386c756b1a0552bed91fc25702f9a7edb688ec83e8b2
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