Instructions to use facebook/convnext-large-384-22k-1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/convnext-large-384-22k-1k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/convnext-large-384-22k-1k") 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-384-22k-1k") model = AutoModelForImageClassification.from_pretrained("facebook/convnext-large-384-22k-1k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3d0e6f8a5587a99947d7ea57407244e07b0b3b1c8843a04f1e9bce8b37c17e5
- Size of remote file:
- 791 MB
- SHA256:
- 6c708ab97dc3c41ef4e5d33d5cf04b359cb618125b4dd8d07e06a459d604553a
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