Uploading VAE in neuro-symbolic-ai/def-optimus

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 517484666

encoder.pkl

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+oid sha256:8a1b35dde647bc5c0a5f31e5546a85a4ffe78ab703fa862f6638eda2b03c62f1
+size 435344245

environment.json

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

model.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1c494b5ce55ac8c31d939293fd56e64805ce02770943c8beb0518dd77292b669
+size 936993706

model_config.json

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