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 optimizer.pt from sei0621/dbbench-test105v1: direct link, hf CLI and curl.
- Browser
- Download file 1.06 GB
-
https://huggingface.co/sei0621/dbbench-test105v1/resolve/main/optimizer.pt
- Command line
-
hf download hf://sei0621/dbbench-test105v1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/sei0621/dbbench-test105v1/resolve/main/optimizer.pt
1.06 GB
- Xet hash:
- e9ff06b252f34046e802e577048cc400bf6baad6b57fb9d23aa525eee56c8c53
- Size of remote file:
- 1.06 GB
- SHA256:
- 1d947f53f11907394abf7141bcd415f6708d00d8fba40e6cae18414557ebe76d
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