Uploading JNFGMC in asenella/translated_mmnist_resnets_2_JNFGMC_lwnmlpt9

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")
+```

decoders.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e4a9d13be9dddd02f091a1bb4b060ff77576dacc04c784168e6882c3cae00ed7
+size 61385131

environment.json

@@ -0,0 +1 @@
+{"name": "EnvironmentConfig", "python_version": "3.10"}

gmc_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fef91484e0e5dcfb65e34d76c250c7f2700bbd9f58b6b22266a26b784e8ceef3
+size 93193243

joint_encoder.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:31f675d1bc770a0959055ff5c6752c01c2038eef399f6e96359264050644b42f
+size 112594226

model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2461c1c6ce8eb38789c5c40ed2c71ab4a6131a8641017b73d019b2681e2efea0
+size 279562986

model_config.json

@@ -0,0 +1 @@
+{"name": "JNFGMCConfig", "n_modalities": 5, "latent_dim": 190, "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, "rescale_factors": null, "decoders_dist": {"m0": "laplace", "m1": "laplace", "m2": "laplace", "m3": "laplace", "m4": "laplace"}, "decoder_dist_params": {"m0": {"scale": 0.75}, "m1": {"scale": 0.75}, "m2": {"scale": 0.75}, "m3": {"scale": 0.75}, "m4": {"scale": 0.75}}, "custom_architectures": ["gmc_model", "decoders", "joint_encoder"], "warmup": 150, "annealing": false, "alpha": 0.1, "nb_epochs_gmc": 100, "beta": 2.5, "gmc_config": {"name": "GMCConfig", "n_modalities": 5, "input_dims": {"m0": [3, 28, 28], "m1": [3, 28, 28], "m2": [3, 28, 28], "m3": [3, 28, 28], "m4": [3, 28, 28]}, "common_dim": 64, "latent_dim": 10, "temperature": 0.1, "custom_architectures": ["processors", "shared_encoder", "joint_encoder"], "loss": "between_modality_joint"}, "logits_to_std": "softplus", "add_reconstruction_terms": false}