Instructions to use facebook/convnext-base-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/convnext-base-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/convnext-base-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/convnext-base-384") model = AutoModelForImageClassification.from_pretrained("facebook/convnext-base-384") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f97977699a650ad4d9a3170d5c8c244122dcfc58fbe3bccfc781e852d335f7d0
- Size of remote file:
- 354 MB
- SHA256:
- 3272a4324319534953b060300af608218dfb10f3957818c92afe5caaad381798
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