Instructions to use cragtmp/c2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/c2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data/LLM/Llama-3.2-11B-Vision-Instruct") model = PeftModel.from_pretrained(base_model, "cragtmp/c2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8f70e68feac447c27d7ad6ae2aa7d99460f34149679d7e4c3bd5f89021a045d
- Size of remote file:
- 14.2 kB
- SHA256:
- 31ed15dfe873d9b662d29dedc0023686063682767eabc69e5bdb2a57184f49de
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