Uploading MMVAE in asenella/reproducing_mmvae
Browse files- README.md +13 -0
- decoders.pkl +3 -0
- encoders.pkl +3 -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 multivae.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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decoders.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:fbc32aa360f561fc3677bbcd2873df96d06bca99dc9a0517d7aab807074a26e5
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size 2143147
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encoders.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:33a31a377d6fb10a8dacd843860028e6c874e6931efa7653113d1fcc84fc812a
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size 2337554
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:c4e232ab60b06ca77657ac4ec4b2fc70d564aadbff58d92ce69de269cb5064b5
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size 4437003
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model_config.json
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{"name": "MMVAEConfig", "n_modalities": 2, "latent_dim": 20, "input_dims": {"mnist": [1, 28, 28], "svhn": [3, 32, 32]}, "uses_likelihood_rescaling": true, "decoders_dist": {"mnist": "laplace", "svhn": "laplace"}, "decoder_dist_params": {}, "custom_architectures": ["encoders", "decoders"], "K": 30, "prior_and_posterior_dist": "laplace_with_softmax", "learn_prior": true}
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