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Uploading MVTCAE in asenella/msMVTCAE_config1_

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  1. README.md +13 -0
  2. decoders.pkl +3 -0
  3. encoders.pkl +3 -0
  4. model.pt +3 -0
  5. model_config.json +1 -0
README.md ADDED
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+ ---
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+ language: en
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+ tags:
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+ - multivae
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+ license: apache-2.0
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+ ---
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+
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+ ### Downloading this model from the Hub
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+ This model was trained with multivae. 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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+ ```
decoders.pkl ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:3c747478548c6b484a8967e16ad6f4172b07f7071c34bf42c9ed8e6692fd8a6f
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+ size 2507730
encoders.pkl ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:1253c4509a87cd4e720104c30c860323ce7b11d13c9ae007b40280656c979d18
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+ size 2711027
model.pt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:15beaf1bb7d3e27bb971f518a11a99b54897de784e0226d944cb4e9e17406e66
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+ size 5166741
model_config.json ADDED
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+ {"name": "MVTCAEConfig", "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"], "alpha": 0.6666666666666666, "beta": 2.5}