Instructions to use thethinkmachine/ResNet50v2-FacesMTL-EXP1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thethinkmachine/ResNet50v2-FacesMTL-EXP1 with Transformers:
# Load model directly from transformers import FacesMultiNet model = FacesMultiNet.from_pretrained("thethinkmachine/ResNet50v2-FacesMTL-EXP1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "age_loss_weight": 1.0, | |
| "architectures": [ | |
| "FacesMultiNet" | |
| ], | |
| "dtype": "float32", | |
| "gender_loss_weight": 1.0, | |
| "model_type": "facesmultitasknet", | |
| "num_age_labels": 1, | |
| "num_gender_labels": 2, | |
| "transformers_version": "4.57.1" | |
| } | |