Uploading VAE in neuro-symbolic-ai/eb-langvae-bert-gpt2-l64

README.md

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+---
+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

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+size 11193199

encoder.pkl

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+oid sha256:5fa8a34cd8c414a623fc05a796d49489117ad5cec15233438c61008f48a03755
+size 1751205

environment.json

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+{"name": "EnvironmentConfig", "python_version": "3.11"}

model.pt

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+oid sha256:3425f1762ebbffe1770eb2b0f4c58424f62153a50ee3d87a7b0a11a4de91cf82
+size 11583111

model_config.json

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+{"name": "VAEConfig", "input_dim": [32, 50257], "latent_dim": 64, "uses_default_encoder": false, "uses_default_decoder": false, "reconstruction_loss": "mse"}