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Uploading MMVAE in asenella/mmnist_MMVAEconfig2_seed_1_ratio_05_c

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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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+ size 22915318
encoders.pkl ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ size 43873119
model.pt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:3dacab5c0895f5763576a5230901202d94e2a6f5c72bf9b53be00af271b7749f
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+ size 66735829
model_config.json ADDED
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+ {"name": "MMVAEConfig", "n_modalities": 5, "latent_dim": 512, "input_dims": {"m0": [3, 28, 28], "m1": [3, 28, 28], "m2": [3, 28, 28], "m3": [3, 28, 28], "m4": [3, 28, 28]}, "uses_likelihood_rescaling": false, "rescale_factors": null, "decoders_dist": {"m0": "laplace", "m1": "laplace", "m2": "laplace", "m3": "laplace", "m4": "laplace"}, "decoder_dist_params": {"m0": {"scale": 0.75}, "m1": {"scale": 0.75}, "m2": {"scale": 0.75}, "m3": {"scale": 0.75}, "m4": {"scale": 0.75}}, "custom_architectures": ["encoders", "decoders"], "K": 10, "prior_and_posterior_dist": "normal", "learn_prior": false, "beta": 1.0}