Uploading MVTCAE in asenella/ms_config_1_alpha_90_beta_50_seed_0
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 sha256:280fe8183d2eed21c7e74a95c9e4e323e03a627e6c824c6aec3bbf292903b1a0
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size 2140423
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encoders.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:b5244100064eabeb451836a7996e4f5e04f855717f6387a42fdc48a9c19b6d81
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size 2335024
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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:e17298a1d3c469d0596b62093f6d855778bd658dc1a8a8cabac3fdc5c6565441
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size 4436309
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model_config.json
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{"name": "MVTCAEConfig", "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": 0.9, "beta": 0.5}
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