Instructions to use ibombonato/swin-age-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibombonato/swin-age-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ibombonato/swin-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("ibombonato/swin-age-classifier") model = AutoModelForImageClassification.from_pretrained("ibombonato/swin-age-classifier") - Notebooks
- Google Colab
- Kaggle
Does not work
#2
by kopyl - opened
My code:
import requests
from PIL import Image
from io import BytesIO
import os
from transformers import ViTFeatureExtractor, ViTForImageClassification
model = ViTForImageClassification.from_pretrained('ibombonato/swin-age-classifier')
transforms = ViTFeatureExtractor.from_pretrained('ibombonato/swin-age-classifier')
This model/code is two years old, so I really dont know if it stills works...
But the error message tells the problem: "You are using a model of type SWIN to instantiate a model of type VIT"
Use SWIN besides VIT and give it a try
from transformers import SwinForImageClassification, AutoFeatureExtractor
feature_extractor = AutoFeatureExtractor.from_pretrained(...)
model = SwinForImageClassification.from_pretrained(...)
ibombonato changed discussion status to closed