Image Classification
timm
PyTorch
bdd100k-toolkit
computer-vision
autonomous-driving
self-driving-cars
driving-scenes
weather-classification
Eval Results (legacy)
Instructions to use dronefreak/bdd100k-weather-efficientformerv2_l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use dronefreak/bdd100k-weather-efficientformerv2_l with timm:
import timm model = timm.create_model("hf-hub:dronefreak/bdd100k-weather-efficientformerv2_l", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download best.pt from dronefreak/bdd100k-weather-efficientformerv2_l: direct link, hf CLI and curl.
- Browser
- Download file 103 MB
-
https://huggingface.co/dronefreak/bdd100k-weather-efficientformerv2_l/resolve/main/best.pt
- Command line
-
hf download hf://dronefreak/bdd100k-weather-efficientformerv2_l/best.pt
-
curl -L -o best.pt https://huggingface.co/dronefreak/bdd100k-weather-efficientformerv2_l/resolve/main/best.pt
103 MB
- Xet hash:
- 5a4ac4a9321f1860c09d72806bc98aba7388f1317ade694dcd7feb26c2d30e09
- Size of remote file:
- 103 MB
- SHA256:
- e99d4ae6c8544ee5b75783465c327a7ccd2f92bdbf0e8eae936233270806e376
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