Instructions to use nateraw/vit-age-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nateraw/vit-age-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="nateraw/vit-age-classifier") 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("nateraw/vit-age-classifier") model = AutoModelForImageClassification.from_pretrained("nateraw/vit-age-classifier") - Inference
- Notebooks
- Google Colab
- Kaggle
Classes find out
#6
by vargar - opened
How to find the classes
from config.json (under files and versions tab here)
"id2label": {
"0": "0-2",
"1": "3-9",
"2": "10-19",
"3": "20-29",
"4": "30-39",
"5": "40-49",
"6": "50-59",
"7": "60-69",
"8": "more than 70"
},
cheers, closing the issue
nateraw changed discussion status to closed