Instructions to use cragtmp/taskgt705-350 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/taskgt705-350 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/taskgt705-350") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd081bf3f9c1e08e28b429958650ae0ac84feb365151e773aa66eac10a38c35c
- Size of remote file:
- 1.06 kB
- SHA256:
- 5e0c0afc6d6c41c61b485e0f90152465a266745fb21b588e9637281d89108a36
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