Uploading VAE in neuro-symbolic-ai/wkt_eb_wn-langvae-bert-gpt2-l256

README.md

@@ -0,0 +1,13 @@
+---
+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:b658b4bedfae0021c65b57cf137b0aba7b741c0fbd6b7f1e16c95179e641ebf0
+size 44223476

encoder.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9d124b2f45ddab3fe6c3590faf197a608b990b40a567fe47a5dc8a14448150e
+size 2930829

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 sha256:051e042c5925552d9b11a36ea7973873ab03d5834885ea430a71462de64b7ff8
+size 45792967

model_config.json

@@ -0,0 +1 @@
+{"name": "VAEConfig", "input_dim": [32, 50257], "latent_dim": 256, "uses_default_encoder": false, "uses_default_decoder": false, "reconstruction_loss": "mse"}