Instructions to use facebook/convnextv2-tiny-1k-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/convnextv2-tiny-1k-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/convnextv2-tiny-1k-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/convnextv2-tiny-1k-224") model = AutoModelForImageClassification.from_pretrained("facebook/convnextv2-tiny-1k-224") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
Add TF weights (#2) 95a9b1f
Update README.md f1e3c2b
Create README.md 7331413
Update config.json 80ab74f
Upload processor 08a8144
Upload ConvNextV2ForImageClassification adaac74
initial commit 88298de
Alara Dirik commited on