Instructions to use cragtmp/task3f2-550 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task3f2-550 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/task3f2-550") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 985c37631bb7781c0f63cbed7dda66e62836629a396c0109ffc9faa03215cf7b
- Size of remote file:
- 52.5 MB
- SHA256:
- 18e775e2f3c1240724259fc26cdd01bc2ec6e3297f1c24faa1093e48025f51de
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