Instructions to use Zetatech/pvt-small-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zetatech/pvt-small-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Zetatech/pvt-small-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("Zetatech/pvt-small-224") model = AutoModelForImageClassification.from_pretrained("Zetatech/pvt-small-224", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 205826a047a9b3625da2dc3b4157ec7cd8c3f56e5b695884c19c3d1eecbe9e2a
- Size of remote file:
- 98.1 MB
- SHA256:
- 1203db56961b26368f3a26812c875e3c275acc755da5215298319b941bbfee01
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