Instructions to use 1999xia/ViT_Fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use 1999xia/ViT_Fast with timm:
import timm model = timm.create_model("hf_hub:1999xia/ViT_Fast", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4136e1047156a70ece762f8855604fa208afd6335219fd9f0aded1e3bac82780
- Size of remote file:
- 343 MB
- SHA256:
- 789bfef2dada54433a95cfdbe823eb734bf3a89f28ae816e55d85fc7b5e23e5e
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