Instructions to use dini-r-a/image_age_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dini-r-a/image_age_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="dini-r-a/image_age_classification") 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("dini-r-a/image_age_classification") model = AutoModelForImageClassification.from_pretrained("dini-r-a/image_age_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd5eb6b26b06d65bbef3fd66e24e648e8e4e1430af4ddecc78acc99024faabae
- Size of remote file:
- 343 MB
- SHA256:
- 77e70a1a7df8580192436651c68b8f47f52dd6b0f6fe00956a9fce11e503f24a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.