Instructions to use cragtmp/task3f2-900 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task3f2-900 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/task3f2-900") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cec8dca5db93d9926c5b410335f5fab371c039326022d83c906c0729f12c7aad
- Size of remote file:
- 52.5 MB
- SHA256:
- a1001542bd822bd8395cf6b8ea969f14764171702202a3e3176cd826480d1a09
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