Uploading VAE in neuro-symbolic-ai/eb-langcvae-bert-gpt2

README.md

@@ -1,3 +1,13 @@
----
-license: gpl-3.0
----
+---
+language: en
+tags:
+- pythae
+license: apache-2.0
+---
+
+### Downloading this model from the Hub
+This model was trained with pythae. It can be downloaded or reloaded using the method `load_from_hf_hub`
+```python
+>>> from pythae.models import AutoModel
+>>> model = AutoModel.load_from_hf_hub(hf_hub_path="your_hf_username/repo_name")
+```

decoder.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0ac9e878171cbc781580770f2a0fa3656e7cd81eeafa1903af23a3f534c7d1c3
+size 776193309

encoder.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e20b1bfa0db15f54e2bf714e6f8a97cc3a29f2fe4d728a9586d2897d95368cb
+size 435532860

environment.json

@@ -0,0 +1 @@
+{"name": "EnvironmentConfig", "python_version": "3.11"}

model.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e8568f326e48b89aafb94ef7c9a66cc50eefcbe04b44211c60e75f3b006bae71
+size 1196031074

model_config.json

@@ -0,0 +1 @@
+{"name": "VAEConfig", "input_dim": [32, 201028], "latent_dim": 32, "uses_default_encoder": false, "uses_default_decoder": false, "reconstruction_loss": "mse"}