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.1725487125.f3b6a1161436.824.1
- Xet hash:
- 660af0e7f6380ba346eae24d3a9f1c940a62a524bc60419d04f47c12f612e91c
- Size of remote file:
- 5.85 kB
- SHA256:
- ab4594a67d2cef66f7426d1e89ca6fff377cafba00f8e11e0829a5c9655dea78
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