Instructions to use TopKek/azaza with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TopKek/azaza with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="TopKek/azaza")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("TopKek/azaza") model = AutoModelForObjectDetection.from_pretrained("TopKek/azaza", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from TopKek/azaza: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/TopKek/azaza/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://TopKek/azaza/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/TopKek/azaza/resolve/main/pytorch_model.bin
167 MB
- Xet hash:
- e1ec30a023a08a9b07d904ff34d93afaeebe5405e4bd6cd09fad4d5e3743e9a8
- Size of remote file:
- 167 MB
- SHA256:
- f15a928d602b55f15705240ddcf949a3d571ddd30347414cfa742fc4af1f2b36
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