Uploading JNFDcca in asenella/mmnistJNFDcca_config1_

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 9000725

decoders.pkl

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+size 11466904

model.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3eec6b319dc59d7dc1aef2e6a3feb359c05680b154367c18cc38d999f31effe8
+size 40594933

model_config.json

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+{"name": "JNFDccaConfig", "n_modalities": 5, "latent_dim": 128, "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": ["dcca_networks", "decoders"], "warmup": 200, "nb_epochs_dcca": 200, "embedding_dcca_dim": 20, "use_all_singular_values": false}