Uploading JNFDcca in asenella/ms_JNFDcca_beta_25_scale_False_seed_3

README.md

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+---
+language: en
+tags:
+- multivae
+license: apache-2.0
+---
+
+### Downloading this model from the Hub
+This model was trained with multivae. 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")
+```

dcca_networks.pkl

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+size 2119415

decoders.pkl

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+size 2140423

environment.json

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+{"name": "EnvironmentConfig", "python_version": "3.10"}

joint_encoder.pkl

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+size 3556425

model.pt

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+size 9282941

model_config.json

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+{"name": "JNFDccaConfig", "n_modalities": 2, "latent_dim": 20, "input_dims": {"mnist": [1, 28, 28], "svhn": [3, 32, 32]}, "uses_likelihood_rescaling": false, "rescale_factors": null, "decoders_dist": {"mnist": "laplace", "svhn": "laplace"}, "decoder_dist_params": {"mnist": {"scale": 0.75}, "svhn": {"scale": 0.75}}, "custom_architectures": ["dcca_networks", "decoders", "joint_encoder"], "warmup": 100, "nb_epochs_dcca": 100, "embedding_dcca_dim": 9, "use_all_singular_values": false, "apply_rescaling": false, "beta": 2.5}