Instructions to use mruby/convnext-large-224-attempt-2253 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mruby/convnext-large-224-attempt-2253 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mruby/convnext-large-224-attempt-2253") 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("mruby/convnext-large-224-attempt-2253") model = AutoModelForImageClassification.from_pretrained("mruby/convnext-large-224-attempt-2253") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:76ce16a5c05ab74eb075f2d5a11ac5f43068fe98589a3dae33ea32b3e6eed5ae
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size 784974968
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