Instructions to use ummagumm-a/samolet_room_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ummagumm-a/samolet_room_classifier with Transformers:
# Load model directly from transformers import AirModelHF model = AirModelHF.from_pretrained("ummagumm-a/samolet_room_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1902fc695543b10b16922164db204ebb5bf71e3d830bab42b39282e06cf22323
- Size of remote file:
- 513 kB
- SHA256:
- a59d82b8c662faf59fa81a49fb0407895d9a46d11118105419f5bd14263c0654
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