Uploading Adversarial_AE in clementchadebec/reproduced_aae

README.md

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+---
+language: en
+tags:
+- pythae
+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="your_hf_username/repo_name")
+```

decoder.pkl

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+size 85921500

discriminator.pkl

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+size 3294399

encoder.pkl

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+size 52507508

environment.json

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+{"name": "EnvironmentConfig", "python_version": "3.7"}

model.pt

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+size 141709596

model_config.json

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+{"name": "Adversarial_AE_Config", "input_dim": [3, 64, 64], "latent_dim": 64, "uses_default_encoder": false, "uses_default_decoder": false, "reconstruction_loss": "mse", "adversarial_loss_scale": 0.5, "uses_default_discriminator": false, "discriminator_input_dim": null}