Instructions to use cragtmp/task1p with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task1p 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/task1p") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa0a116e4040759fbf23209b5ac17dff83d311b8e52721dce2eb33320fd62d7c
- Size of remote file:
- 52.5 MB
- SHA256:
- 063fd1451397c02b78c4bae7e8cb82fa74abfa4bb0e21e7c6cf0dde6a50f29d0
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