Instructions to use tinutmap/categorAI_img with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tinutmap/categorAI_img with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="tinutmap/categorAI_img") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("tinutmap/categorAI_img") model = AutoModelForImageClassification.from_pretrained("tinutmap/categorAI_img", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 980ed565df61e71535417a7e2403f9864d403d8e341405cd1ed7c2c5b3b32a25
- Size of remote file:
- 5.3 kB
- SHA256:
- e2d734840f32c8cdc7335aca3f8d60422caff2bb0ed40b19a57fa76a32b8cb4c
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