Instructions to use sei0621/dbbench-test105v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sei0621/dbbench-test105v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Instruct-2507") model = PeftModel.from_pretrained(base_model, "sei0621/dbbench-test105v1") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sei0621/dbbench-test105v1: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/sei0621/dbbench-test105v1/resolve/main/training_args.bin
- Command line
-
hf download hf://sei0621/dbbench-test105v1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sei0621/dbbench-test105v1/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- a6289716b73e7bbe9f892ee68c9008021468eead04662589760ec02c97885b56
- Size of remote file:
- 5.78 kB
- SHA256:
- e3e02fcf1637b936c97bfaf825c3fa870c22e34ebcfc1ddca5fbc914f6fdf2bc
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