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_20-41-23_f3b6a1161436 /events.out.tfevents.1725482538.f3b6a1161436.824.0
- Xet hash:
- 0250acb7d3ff63ff16faf4f9a0af2cd91fe2f3cdcf37ef33a2c318db4d5a560b
- Size of remote file:
- 5.8 kB
- SHA256:
- 5aa0e3dcd1da1126a6cca743d002209f7ec2c4247d68c0b8ed3a4c4c077684bf
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