Uploading JMVAE in asenella/translated_mmnist_resnets_2_JMVAE_23ljk6ks

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:a2bac0b35504761a052384286b6faede74d148ba17a4e382e4e88d1e93b638a6
+size 23753212

encoders.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:08dcb7d6abc1a491d489ba2bc72b6ae9b31298443eddc162e89173e2f5552ba6
+size 113836439

environment.json

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

joint_encoder.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6fed9c9458ea7502589310208a0db8a8843defe94e10db8c5615941826fe91fb
+size 33542288

model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:23cb9d07501d0d15651bb693d568f1695794c06ee35baeeb3422c07216810cc0
+size 171013538

model_config.json

@@ -0,0 +1 @@
+{"name": "JMVAEConfig", "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": ["encoders", "decoders", "joint_encoder"], "alpha": 0.1, "warmup": 100, "beta": 0.5}