readme: ---
  language: en
  tags:
  - pythae
  - reproducibility
  license: apache-2.0
  ---
  
  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_rae_l2")
  ```
  
  ## Reproducibility
  This trained model reproduces the results of the official implementation of [1].
  
  | Model | Dataset | Metric | Obtained value | Reference value |
  |:---:|:---:|:---:|:---:|:---:|
  | RAE_L2 | MNIST | FID | 9.1 | 9.9 |
  
  [1] Partha Ghosh, Mehdi SM Sajjadi, Antonio Vergari, Michael Black, and Bernhard Schölkopf. From variational to deterministic autoencoders. In 8th International Conference on Learning Representations, ICLR 2020, 2020.