Uploading MVTCAE in asenella/ms_MVTCAE_beta_5_scale_True_seed_3

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 sha256:2b65a1c2343a3166893b7759d9b90fbec06a165561feafefa0603febdc08a57b
+size 2140423

encoders.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2ee64a6b8a75a9bac7764d8dba1722627ae6f05635e52394f7c7cc9381ab2f9a
+size 2335024

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 sha256:9051412986156c5562bd08c1962a6400536b005da25c062ab27da996940c1e31
+size 4436309

model_config.json

@@ -0,0 +1 @@
+{"name": "MVTCAEConfig", "n_modalities": 2, "latent_dim": 20, "input_dims": {"mnist": [1, 28, 28], "svhn": [3, 32, 32]}, "uses_likelihood_rescaling": true, "rescale_factors": null, "decoders_dist": {"mnist": "laplace", "svhn": "laplace"}, "decoder_dist_params": {"mnist": {"scale": 0.75}, "svhn": {"scale": 0.75}}, "custom_architectures": ["encoders", "decoders"], "alpha": 0.9, "beta": 0.5}