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.1725487375.f3b6a1161436.824.2
- Xet hash:
- 4cc6b074b7d373c1dd395664828a2cd15c6315f6680dfaa1f08ddfd4d7feda27
- Size of remote file:
- 11.2 kB
- SHA256:
- b4d6875980178b470e7efead2e446e9e1e141e49ab3fb308bdbe680ec17144cb
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