Image Classification
Transformers
Safetensors
English
siglip
Age
Detection
Siglip2
ViT
AutoImageProcessor
0-60+
Instructions to use prithivMLmods/Age-Classification-SigLIP2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Age-Classification-SigLIP2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Age-Classification-SigLIP2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Age-Classification-SigLIP2") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Age-Classification-SigLIP2") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3990c8793ee75794189be9b3a6e8f658cbcf62a286a697e929e06b7b77b9de1f
- Size of remote file:
- 372 MB
- SHA256:
- 7e0205ae229b38817996d56b5106c6843cfa6c93eb460b43e85f8a8d2fabf90a
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