Instructions to use ccjh/widthIrplus_msg_qm9s_mb_msd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ccjh/widthIrplus_msg_qm9s_mb_msd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data/group/project1/models/Qwen3-32B") model = PeftModel.from_pretrained(base_model, "ccjh/widthIrplus_msg_qm9s_mb_msd") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ccjh/widthIrplus_msg_qm9s_mb_msd: direct link, hf CLI and curl.
- Browser
- Download file 6.23 kB
-
https://huggingface.co/ccjh/widthIrplus_msg_qm9s_mb_msd/resolve/main/training_args.bin
- Command line
-
hf download hf://ccjh/widthIrplus_msg_qm9s_mb_msd/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ccjh/widthIrplus_msg_qm9s_mb_msd/resolve/main/training_args.bin
6.23 kB
- Xet hash:
- 744128616e2397c6cbbea088a6c9cb5e98fbc0409bef3c20b5809de1ff60ac6e
- Size of remote file:
- 6.23 kB
- SHA256:
- b67a849052e63a79cac3d48fab6344509c199df76d24cab58ea474286c1afc7c
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