Uploading JNFDcca in asenella/mmnistJNFDcca_config2_

README.md

@@ -0,0 +1,13 @@
+---
+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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a08f31de0db6b9583ee01c70f3806c7f2a6358ad9e341777912de4ff52565740
+size 3548734

decoders.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:30c8d5d731146a91819a3478ed2b96377773a00a687d4a6f41897e3f10d7a86c
+size 22915318

model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d08543f99295a6fdc0a083ec64f7875124dac6302a8d85fc3a617d8ed5fb2d33
+size 62471701

model_config.json

@@ -0,0 +1 @@
+{"name": "JNFDccaConfig", "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": ["dcca_networks", "decoders"], "warmup": 200, "nb_epochs_dcca": 200, "embedding_dcca_dim": 20, "use_all_singular_values": false}