Instructions to use Zetatech/pvt-large-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zetatech/pvt-large-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Zetatech/pvt-large-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-large-224") model = AutoModelForImageClassification.from_pretrained("Zetatech/pvt-large-224") - Notebooks
- Google Colab
- Kaggle
Commit ·
e5dc6e5
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Parent(s): 1ef3c6a
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (a9152ec13368983a7d5311cf611a46a72e6229dc)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3e22c4983336c00625daee8934ed7fd280d854b3faecfad15be4b00f3f91a3ce
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size 245574528
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