Instructions to use cragtmp/task05rd2-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cragtmp/task05rd2-50 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/task05rd2-50") - Notebooks
- Google Colab
- Kaggle
Download scheduler.pt from cragtmp/task05rd2-50: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/cragtmp/task05rd2-50/resolve/main/scheduler.pt
- Command line
-
hf download hf://cragtmp/task05rd2-50/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/cragtmp/task05rd2-50/resolve/main/scheduler.pt
1.06 kB
- Xet hash:
- f94bdc7834f49d0177bd8e6d17e76b195cfb699fd6729764ebef7a72d24879ec
- Size of remote file:
- 1.06 kB
- SHA256:
- a1ee0b541621b32b6215066939fe3c025c827bf0d3cd854c6d70db706686da61
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