Uploading JNFGMC in asenella/translated_mmnist_resnets_2_JNFGMC_z7vm58kn

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:bf8a4a8351c930e222d4d68af19949a17e891647ee92081f28d7b7072ace2b55
+size 23753228

encoders.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b4f57514518b80134ce1241d8893a46f088b7677089f700c9ffb98dc1f7baea6
+size 9517279

environment.json

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

flows.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:26a170d852794501b55f9161dfda2d471b8feee20d686bd122348f270c6dd28c
+size 13396389

gmc_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f4899accc4cf21632477d9eb693ddc1c1ea7c37bedb13f1c3f47ab8fa2dda024
+size 7203401

joint_encoder.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dcc303163aaf58668a3615b4656a7d819c2ae27131acad430a46e45c177b6f44
+size 33542306

model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dad6a9f048b801f990d06e9acda994168a59881a01345e30bbebdc2867e0ed35
+size 87115562

model_config.json

@@ -0,0 +1 @@
+{"name": "JNFGMCConfig", "n_modalities": 5, "latent_dim": 200, "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}}, "logits_to_std": "softplus", "custom_architectures": ["gmc_model", "encoders", "decoders", "joint_encoder", "flows"], "warmup": 150, "annealing": false, "alpha": 0.1, "nb_epochs_gmc": 80, "beta": 1.0, "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"], "loss": "between_modality_pairs"}, "add_reconstruction_terms": false, "divide_by_prior": true}