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4239876
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Parent(s):
b43c134
Uploading VAE in neuro-symbolic-ai/def-optimus
Browse files- README.md +13 -0
- decoder.pkl +3 -0
- encoder.pkl +3 -0
- environment.json +1 -0
- model.pt +3 -0
- model_config.json +1 -0
README.md
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---
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language: en
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tags:
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- pythae
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license: apache-2.0
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---
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### Downloading this model from the Hub
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This model was trained with pythae. It can be downloaded or reloaded using the method `load_from_hf_hub`
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```python
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>>> from pythae.models import AutoModel
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>>> model = AutoModel.load_from_hf_hub(hf_hub_path="your_hf_username/repo_name")
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```
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decoder.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:f2b1b34897b73813793b42598f918811effbb7a7da39ae504fb438ad1093f6c9
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size 517484666
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encoder.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:8a1b35dde647bc5c0a5f31e5546a85a4ffe78ab703fa862f6638eda2b03c62f1
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size 435344245
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environment.json
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{"name": "EnvironmentConfig", "python_version": "3.11"}
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:1c494b5ce55ac8c31d939293fd56e64805ce02770943c8beb0518dd77292b669
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size 936993706
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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"}
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