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
Commit History
Yesterday
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Clarify FAHR-FaceSurvival weight availability
Verified signature1fbb84e
4 days ago
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Shorten model card and clarify face preprocessing
Verified signatureMake cropping and alignment required before FAHR-FaceAge inference, shorten the README, and remove the checksum manifest.5509950 -
Document the Lancet Digital Health model release
Verified signatureAdd the shared model card, journal citation, checkpoint checksums, and tested loading examples for FAHR-Face and FAHR-FaceAge.9f79d0d -
Add pretrained FAHR-FaceAge checkpoint
Verified signatureAdd the age estimation checkpoint alongside FAHR-Face for the Lancet Digital Health paper release.8606e41 -
Add pretrained FAHR-Face checkpoint
Verified signatureUpload the original foundation model training checkpoint, including model_state_dict and optimizer state.d307a63 -
initial commit
Verified signature9c7f41e