Instructions to use facebook/convnextv2-nano-22k-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/convnextv2-nano-22k-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/convnextv2-nano-22k-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/convnextv2-nano-22k-384") model = AutoModelForImageClassification.from_pretrained("facebook/convnextv2-nano-22k-384") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#7 opened over 1 year ago
by
SFconvertbot
Adding `safetensors` variant of this model
#6 opened over 2 years ago
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SFconvertbot
Update config.json
#3 opened about 3 years ago
by
adirik
Update config.json
#2 opened about 3 years ago
by
adirik
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot