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")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("TopKek/test2204") model = AutoModelForObjectDetection.from_pretrained("TopKek/test2204", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from TopKek/test2204: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/TopKek/test2204/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://TopKek/test2204/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/TopKek/test2204/resolve/main/pytorch_model.bin
167 MB
- Xet hash:
- 078f42dbb0a8da8b366f0e2f372ed1216682d85cae570405f7587ce3e5530f81
- Size of remote file:
- 167 MB
- SHA256:
- 5f26c8b8e9942706b20c648e8b76ee8c927b323c721075f4c1752d4cc0b1567f
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