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_11-15-29_6801bce4c4b3 /events.out.tfevents.1724066883.6801bce4c4b3.1808.5
- Xet hash:
- 29f28daf56de5b15154f69c09db00f2ba71f94de3a8a45bf022d8b500c3d3a7c
- Size of remote file:
- 404 Bytes
- SHA256:
- d01219911e81cc12c95825ef21b9e8001f2611093602e8e16b671f4ff4eab71e
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