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 /Aug19_11-03-24_6801bce4c4b3 /events.out.tfevents.1724065414.6801bce4c4b3.1808.2
- Xet hash:
- b77885c8a4cf807d120bae0167bab38d23c571fd6f53cce69b9018f2247d9bee
- Size of remote file:
- 6.61 kB
- SHA256:
- 0d160450bb097023654d9b8053d6276e429d78983219df0930ca9a73baba9a65
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