Instructions to use karim155/convnext-tiny-224-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karim155/convnext-tiny-224-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="karim155/convnext-tiny-224-finetuned") 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("karim155/convnext-tiny-224-finetuned") model = AutoModelForImageClassification.from_pretrained("karim155/convnext-tiny-224-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
convnext-tiny-224-finetuned / runs /Sep04_23-29-33_9dd536aedd2c /events.out.tfevents.1725492580.9dd536aedd2c.674.0
- Xet hash:
- d20ccccf60c2f7073b76f1a1d437461ba58fcae42f0e4629097402243cee7793
- Size of remote file:
- 33.1 kB
- SHA256:
- d5ba404479cf8ad31f605dafe1a44332001b4c2fdf47173adaddb6cc0ea58c0a
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