Instructions to use cragtmp/task3f2-600 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task3f2-600 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/task3f2-600") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82489bb4384cf3cb6fbb60202b50d686dee1e38ea9c71bab109dd72b5d550d8d
- Size of remote file:
- 52.5 MB
- SHA256:
- e2cc0ed5fe0aefc797c2fac03be604604b250800d376c6377081a5b79eaff41c
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