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_10-42-47_6801bce4c4b3 /events.out.tfevents.1724064427.6801bce4c4b3.1808.1
- Xet hash:
- 3e7777b0e85cc940f62cb9826c42636ffb7df9c0d1f8d956bcb55afa2d0f4425
- Size of remote file:
- 404 Bytes
- SHA256:
- 187aaa833a14d28e853a86a86f17bff36199dcd77d823375c476f18f25ec8515
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