PyTorch
Transformers
computer-vision
masked-autoencoder
age-estimation
facial-analysis
arxiv:2506.14909
Instructions to use fridolin22/FAHR-Face with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fridolin22/FAHR-Face with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fridolin22/FAHR-Face", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add pretrained FAHR-Face checkpoint
Browse filesUpload the original foundation model training checkpoint, including model_state_dict and optimizer state.
- fahr_face.pth +3 -0
fahr_face.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:d9905edbe97ee74b71821347bc9a0a1ed9c42712b7c69eb513ebbfe2c40a4911
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size 1340556640
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