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 training_args.bin from TopKek/azaza: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/TopKek/azaza/resolve/main/training_args.bin
- Command line
-
hf download hf://TopKek/azaza/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/TopKek/azaza/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- e6c8a8011ab6080362f98dba1de3b7211993a47a82f4b3409fa7ad76755c344a
- Size of remote file:
- 3.58 kB
- SHA256:
- 36ce0eeb92540cfa39714b8d97d1fc1b7af71eff6dbc70f3b057c8922225fe68
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