Image Classification
Transformers
TensorBoard
Safetensors
convnext
Generated from Trainer
Eval Results (legacy)
Instructions to use andrecastro/convnext-tiny-224-convnext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andrecastro/convnext-tiny-224-convnext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="andrecastro/convnext-tiny-224-convnext") 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("andrecastro/convnext-tiny-224-convnext") model = AutoModelForImageClassification.from_pretrained("andrecastro/convnext-tiny-224-convnext", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f55a45f2fe8a7bdb12dda23b342c497de129772912413c837f45be7427ad4aa
- Size of remote file:
- 4.6 kB
- SHA256:
- ad50f75c816042d4e03797578022a7ffc4e52496450091571065327e507f84b7
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