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_15-28-02_0ea876ca526a /events.out.tfevents.1725463694.0ea876ca526a.551.0
- Xet hash:
- c234c7f1a5b255660c1e56a55e1a760c50b99e047cd228880cc37ba308dc33e2
- Size of remote file:
- 19.8 kB
- SHA256:
- dc9329760c4cdc8e36a7ccc6c611da6d1433849be9bc9e896f8d566f39ce7c33
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