Uploading MVTCAE in asenella/reproducing_mvtcae

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 multivae.models import AutoModel
+>>> model = AutoModel.load_from_hf_hub(hf_hub_path="your_hf_username/repo_name")
+```

decoders.pkl

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+size 22916966

encoders.pkl

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+size 33404484

model.pt

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+oid sha256:3e1472ed5475a63dc5997c5fdbc188333696c5a9bbad6838bbf138eeca994262
+size 56258989

model_config.json

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+{"name": "MVTCAEConfig", "n_modalities": 5, "latent_dim": 512, "input_dims": {"m0": [3, 28, 28], "m1": [3, 28, 28], "m2": [3, 28, 28], "m3": [3, 28, 28], "m4": [3, 28, 28]}, "uses_likelihood_rescaling": false, "decoders_dist": {"m0": "laplace", "m1": "laplace", "m2": "laplace", "m3": "laplace", "m4": "laplace"}, "decoder_dist_params": {}, "custom_architectures": ["encoders", "decoders"], "alpha": 0.8333333333333334, "beta": 2.5}