This model was trained with pythae. It can be downloaded or reloaded using the method load_from_hf_hub
python
1>>>from pythae.models import AutoModel
2>>> model = AutoModel.load_from_hf_hub(hf_hub_path="clementchadebec/reproduced_wae")
Reproducibility
This trained model reproduces the results of Table 1 in [1].
Model
Dataset
Metric
Obtained value
Reference value
WAE
CELEBA 64
FID
56.5
55
[1] Tolstikhin, O Bousquet, S Gelly, and B Schölkopf. Wasserstein auto-encoders. In 6th International Conference on Learning Representations (ICLR 2018), 2018.
