Instructions to use facebook/convnextv2-base-22k-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/convnextv2-base-22k-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/convnextv2-base-22k-224") 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("facebook/convnextv2-base-22k-224") model = AutoModelForImageClassification.from_pretrained("facebook/convnextv2-base-22k-224") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 865a0624d839d6e843ecd6af19327b12be0e9c595339264ccd7dc3a7665a4604
- Size of remote file:
- 355 MB
- SHA256:
- 175a54bbcf71a1a34b26143db4f0f24ddea99ef30981d596860d43b4b76031c1
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