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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5d368fa17fe4b0c75594562a5e2bf13b353f3a1e466546cdf440a34bad9fc99
- Size of remote file:
- 687 MB
- SHA256:
- 358610b3e71c07f2a32fce49859c1de8ce3a74caa8c383439a52b224f0ff23e8
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