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README.md
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language: en
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tags:
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- pythae
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license: apache-2.0
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---
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### Downloading this model from the Hub
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This model was trained with pythae. It can be downloaded or reloaded using the method `load_from_hf_hub`
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```python
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>>> from pythae.models import AutoModel
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>>> model = AutoModel.load_from_hf_hub(hf_hub_path="
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```
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language: en
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tags:
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- pythae
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- reproducibility
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license: apache-2.0
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---
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This model was trained with pythae. It can be downloaded or reloaded using the method `load_from_hf_hub`
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```python
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>>> from pythae.models import AutoModel
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>>> model = AutoModel.load_from_hf_hub(hf_hub_path="clementchadebec/reproduced_rae_l2")
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```
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## Reproducibility
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This trained model reproduces the results of the official implementation of [1].
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| Model | Dataset | Metric | Obtained value | Reference value |
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| RAE_L2 | MNIST | FID | 9.1 | 9.9 |
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[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.
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