Instructions to use facebook/convnext-large-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/convnext-large-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/convnext-large-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/convnext-large-224") model = AutoModelForImageClassification.from_pretrained("facebook/convnext-large-224", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55e038dcb68ba3613b79c28ae8f1df6ba4dd358cd2490ee44b8da46f90ef33a0
- Size of remote file:
- 791 MB
- SHA256:
- 77b7962bd2b375c8f5405d897390351d8bd58522722c5df6c783b176dbc1b754
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