Instructions to use venetis/convnext-tiny-224_album_vit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use venetis/convnext-tiny-224_album_vit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="venetis/convnext-tiny-224_album_vit") 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("venetis/convnext-tiny-224_album_vit") model = AutoModelForImageClassification.from_pretrained("venetis/convnext-tiny-224_album_vit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Size of remote file:
- 3.44 kB
- SHA256:
- 8a5a3944f1792a2c3f567b1aa3fea60376ffbe821dc209c3d6ea043030a6a3da
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