Instructions to use byrocuy/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use byrocuy/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="byrocuy/image_classification") 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("byrocuy/image_classification") model = AutoModelForImageClassification.from_pretrained("byrocuy/image_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca3b75587c60b1188e7bdf42c94ee044c187baf0c38646e9f6c206cbcaa0170c
- Size of remote file:
- 343 MB
- SHA256:
- 1120dc27d8e292fcc57c0b561e8eccf3d325771b3ae03ec5ad486f7c04515eb8
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