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Uploading JMVAE in asenella/ms_config_1_alpha_10_beta_250_seed_1

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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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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:9a0f93b92c0c229eca8c3880802538212e2e3bc335422acdaa6ce2e0d1652be8
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+ size 2140423
encoders.pkl ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:4956023e30802ea68e61626d00c3af891828ed60f038d624da73dff4ded7f42c
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+ size 2335024
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:b22ae7ee11ea055bff186825876f295afdf93794f9df71426e79727899458971
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+ size 7971293
model_config.json ADDED
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+ {"name": "JMVAEConfig", "n_modalities": 2, "latent_dim": 20, "input_dims": {"mnist": [1, 28, 28], "svhn": [3, 32, 32]}, "uses_likelihood_rescaling": true, "rescale_factors": null, "decoders_dist": {"mnist": "laplace", "svhn": "laplace"}, "decoder_dist_params": {"mnist": {"scale": 0.75}, "svhn": {"scale": 0.75}}, "custom_architectures": ["encoders", "decoders"], "alpha": 0.1, "warmup": 100, "beta": 2.5}