Uploading MVAE in asenella/mmnist_MVAEconfig2_seed_0_ratio_00_c

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 sha256:0ac0ba96dcfb47564060330bd60c0123484fce7edfafb7a90d28a1dca5a153b1
+size 22915318

encoders.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8b5a8f4ae890fa3719a67264abe0d52795f1202911671a027016ce8e9e8dc84b
+size 43873119

model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dd6cbafedc894b932d7005acf6e6ff11f6de1e3d737bcef539a94d2d64f5c971
+size 66731231

model_config.json

@@ -0,0 +1 @@
+{"name": "MVAEConfig", "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, "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": ["encoders", "decoders"], "use_subsampling": true, "k": 0, "warmup": 0, "beta": 1.0}