Uploading MVTCAE in asenella/mmnist_resnets_MVTCAE_3o923mcj

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:b5d0ba319c5ae078297a1ac1f8ee00618bb8303dfae96bab084c0560b0335aaa
+size 61386269

encoders.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f750503cb7ed309dfde6593687a338257b4b34034115dbd6be3cf4166612069a
+size 108819559

environment.json

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

model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:82d6dbd1eda22e1e57e32de9c7b7595779680b48023ca41ff295c344d6f2cb38
+size 170116338

model_config.json

@@ -0,0 +1 @@
+{"name": "MVTCAEConfig", "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": ["encoders", "decoders", "encoders", "decoders"], "alpha": 0.8333333333333334, "beta": 2.5}