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 scheduler.pt from sei0621/dbbench-test105v1: direct link, hf CLI and curl.
- Browser
- Download file 1.47 kB
-
https://huggingface.co/sei0621/dbbench-test105v1/resolve/main/scheduler.pt
- Command line
-
hf download hf://sei0621/dbbench-test105v1/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/sei0621/dbbench-test105v1/resolve/main/scheduler.pt
1.47 kB
- Xet hash:
- 5dbca0fed14e4ae8d9fc9918d08cb3e3bd777a30b063b3fe1ff106556784a0cf
- Size of remote file:
- 1.47 kB
- SHA256:
- 3174daaf76102b0af366b161c1b73e652e9d3b0dd132726a8e037a055631b119
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.