Instructions to use cragtmp/taskgt705-450 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/taskgt705-450 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/taskgt705-450") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3de8174867107d6c51630404d3c78fbce5d26e36e0b148a4454d77ab6c3da3ee
- Size of remote file:
- 1.06 kB
- SHA256:
- 5abbf15042da933bc1cfec2bc0fc97aca14659f72821b69eedf467497329040d
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