asenella commited on
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Uploading MVAE in asenella/reproduce_mvae_mnist

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Files changed (5) hide show
  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 sha256:4d858c4eaaa7fcde89246b41b58a45a194a3e129412a674fdfe40ba7e09d23a2
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+ size 6115483
encoders.pkl ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:0f18457b9e1c659cb095ef68a66ee97210219cf41ac02a279853c90a4ce6e3e8
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+ size 4272080
model.pt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:b0370a5687d66aa764f6755ac2d170df3bc503aa695c6ea68d4ab135c5218de6
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+ size 10361414
model_config.json ADDED
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+ {"name": "MVAEConfig", "n_modalities": 2, "latent_dim": 64, "input_dims": {"images": [1, 28, 28], "labels": [1]}, "uses_likelihood_rescaling": true, "rescale_factors": {"images": 1, "labels": 50}, "decoders_dist": {"images": "bernoulli", "labels": "categorical"}, "decoder_dist_params": {}, "custom_architectures": ["encoders", "decoders"], "k": 0, "warmup": 200}