Instructions to use facebook/convnextv2-large-22k-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/convnextv2-large-22k-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/convnextv2-large-22k-384") 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-large-22k-384") model = AutoModelForImageClassification.from_pretrained("facebook/convnextv2-large-22k-384") - Notebooks
- Google Colab
- Kaggle
Commit ·
4d4e88a
1
Parent(s): 146849f
Add TF weights (#3)
Browse files- Add TF weights (f35c7dd52159a05939e09f930e8c497fe7e3bb71)
Co-authored-by: neggles <neggles@users.noreply.huggingface.co>
- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:39e6a19f22627fb89003c9b87f22c452db3c51c3c0f401bfc012a87ad27bdc98
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size 792265144
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