Uploading MMVAEPlus in asenella/ms_config_1_MMVAEPlus_pb4kuhrz
Browse files- README.md +13 -0
- decoders.pkl +3 -0
- encoders.pkl +3 -0
- environment.json +1 -0
- model.pt +3 -0
- model_config.json +1 -0
README.md
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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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### 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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```
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decoders.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:abbd984d6c61ba448b1088a6fd38eb1f45c71fc3230b0d1425c820fe1c97d891
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size 2140553
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encoders.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:481743a721a07491b43fdc9673a7f4345a44e52fa92304753d2109cd8f728ac1
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size 4265662
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environment.json
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{"name": "EnvironmentConfig", "python_version": "3.10"}
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:8512b26d32eef46b4ef2b7206521f260d6d7c81cc1d6944cc58871816e3d435c
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size 6362836
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model_config.json
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{"name": "MMVAEPlusConfig", "n_modalities": 2, "latent_dim": 10, "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"], "K": 10, "prior_and_posterior_dist": "laplace_with_softmax", "learn_shared_prior": false, "learn_modality_prior": true, "beta": 1.0, "modalities_specific_dim": 10, "reconstruction_option": "joint_prior", "loss": "dreg_looser"}
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