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Uploading MMVAE in asenella/MHD_MMVAE_a8808dgo

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Files changed (6) hide show
  1. README.md +13 -0
  2. decoders.pkl +3 -0
  3. encoders.pkl +3 -0
  4. environment.json +1 -0
  5. model.pt +3 -0
  6. 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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+ size 32019123
encoders.pkl ADDED
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+ size 49379186
environment.json ADDED
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+ {"name": "EnvironmentConfig", "python_version": "3.10"}
model.pt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:9e325931caeea85e529bf7e6ad6fa64e3efa774aa462349930fccc56dc05fe52
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+ size 81332018
model_config.json ADDED
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+ {"name": "MMVAEConfig", "n_modalities": 3, "latent_dim": 64, "input_dims": {"image": [3, 28, 28], "audio": [1, 32, 128], "trajectory": [200]}, "uses_likelihood_rescaling": true, "rescale_factors": null, "decoders_dist": {"image": "normal", "audio": "normal", "trajectory": "normal"}, "decoder_dist_params": {}, "logits_to_std": "standard", "custom_architectures": ["encoders", "decoders"], "K": 10, "prior_and_posterior_dist": "normal", "learn_prior": false, "beta": 0.5}