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Uploading JMVAE in asenella/ms_config_1_alpha_10_beta_1_seed_2

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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 sha256:927ef0a57a832aef1fe6384d658a0918643a7f59637cf578639d3a2358c24ce9
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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 sha256:72749f02326900955d8efc236466b27cc250bd030100d1abe6801267b817d3df
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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 sha256:67ccb43de60ccb015b7954b47971b0fb5b2eddcd2f9bf31fb8dfa1cbe12bf6a4
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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": 1.0}