readme: ---
  language: en
  tags:
  - pythae
  - reproducibility
  license: apache-2.0
  ---
  
  ### Downloading this model from the Hub
  This model was trained with pythae. It can be downloaded or reloaded using the method `load_from_hf_hub`
  ```python
  >>> from pythae.models import AutoModel
  >>> 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.