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
Commit ·
70b916b
1
Parent(s): 890e842
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (58dbe664a8ca1a11797f4b40eb2c504e7c46408f)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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