Instructions to use Library-Mutsumi/timms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use Library-Mutsumi/timms with timm:
import timm model = timm.create_model("hf_hub:Library-Mutsumi/timms", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 039d3ff640f9551f8214a3e957dc3e2088bc38aee705d996d9b878ccdac2709b
- Size of remote file:
- 734 Bytes
- SHA256:
- 0c893c9365d4dd7675e5a744c55cbf3af06c8aeeabcbe2db46ba48f5fae256c5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.