Instructions to use ImageIN/convnext-tiny-224_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ImageIN/convnext-tiny-224_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ImageIN/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("ImageIN/convnext-tiny-224_finetuned") model = AutoModelForImageClassification.from_pretrained("ImageIN/convnext-tiny-224_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44d287021d24aeade0c467c2df93467710ad100522bc0900773a263a4d9bcd4b
- Size of remote file:
- 111 MB
- SHA256:
- 54ca372f3579e4331abc3bf352fb39163feedcb3a70ec6477060c20487fad656
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