Instructions to use cragtmp/task3f2-800 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task3f2-800 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/task3f2-800") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 247d6c85e1f7779d8e63ba10b158cddf5774c3638993ac5e19b35b1ccc88b09f
- Size of remote file:
- 52.5 MB
- SHA256:
- 3323b49fe9d97cb56d3c18610876eb7cc3e0be6e88fbdf762be35f0db3e50b5f
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