Image Classification
Transformers
PyTorch
Safetensors
beit
vision
Generated from Trainer
Eval Results (legacy)
Instructions to use NTQAI/pedestrian_age_recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NTQAI/pedestrian_age_recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="NTQAI/pedestrian_age_recognition") 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("NTQAI/pedestrian_age_recognition") model = AutoModelForImageClassification.from_pretrained("NTQAI/pedestrian_age_recognition") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#3 opened over 2 years ago
by
librarian-bot
Adding ONNX file of this model
#1 opened over 3 years ago
by
ivensamdh