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:
- 5f9020c556d2341b56ff3125cddfc23a1b2196c53bbf1e0d1a426de7c04127d6
- Size of remote file:
- 513 kB
- SHA256:
- ebb4653ea5bfccbf59233870c34fef8a1c9006e082b7c7a1e2aa0b2937125dca
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