Instructions to use ksukrit/convnextv2-base-22k-224-finetuned-hand_class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ksukrit/convnextv2-base-22k-224-finetuned-hand_class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ksukrit/convnextv2-base-22k-224-finetuned-hand_class") 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("ksukrit/convnextv2-base-22k-224-finetuned-hand_class") model = AutoModelForImageClassification.from_pretrained("ksukrit/convnextv2-base-22k-224-finetuned-hand_class", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f20db595c36137d7e8e70d0e2357970a7da9c8cab3d9cefab307a4f8e034bdd1
- Size of remote file:
- 4.09 kB
- SHA256:
- 52df261d9b3361957014402d7221e4d5a4cadd3c954af4019e00fa1498340fb1
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