Image Classification
Transformers
Safetensors
English
metaclip_2
text-generation-inference
age-ange-estimator
Instructions to use prithivMLmods/MetaCLIP-2-Age-Range-Estimator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/MetaCLIP-2-Age-Range-Estimator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/MetaCLIP-2-Age-Range-Estimator") 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/MetaCLIP-2-Age-Range-Estimator") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/MetaCLIP-2-Age-Range-Estimator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30116ce8f196f5bb0ec65ef37d1580940a9965d8c6d87d14264f3b1aab25df05
- Size of remote file:
- 5.78 kB
- SHA256:
- ce4ead4878e2e55fe3a4fe39438d2aaee6578e9b7eb9c1e0638d6c33b6fd4199
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.