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:
- 04b50822f7b78b9c033446fa0c19a63b5a0e13dccf617ba91d9ae905db19e09d
- Size of remote file:
- 3.38 kB
- SHA256:
- 1b2900b73fb4bd3b04c4e33c79a6a27ca078de990867eb2bfdbf583f7ab3484f
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