Instructions to use TopKek/test2204 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TopKek/test2204 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="TopKek/test2204")# Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("TopKek/test2204") model = AutoModelForObjectDetection.from_pretrained("TopKek/test2204") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a141c0439337161e602e319b297e666d3a7fb170a4123c7addcacdad11becd1
- Size of remote file:
- 3.58 kB
- SHA256:
- d6dbf15dd72768a33fde5ab19e8024a25700015341fa3a4fb22b45ea123a2129
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.