Uploading DMVAE in asenella/reproducing_dmvae
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 sha256:588a3666d8bab0996b7e3477e22e63a29747b6dff612265c80243df93a493865
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size 3664311
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encoders.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:bb652eb06c281422a447b853a36ad5bb13ad187528f1080955454c7315aecb7d
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size 5774291
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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:d773f884920e5655ad6961ae6fc40d82d0614c9482221cb251816924a15e0b99
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size 9391460
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model_config.json
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{"name": "DMVAEConfig", "n_modalities": 2, "latent_dim": 10, "input_dims": null, "uses_likelihood_rescaling": true, "rescale_factors": {"mnist": 50, "svhn": 1}, "decoders_dist": {"mnist": "normal", "svhn": "normal"}, "decoder_dist_params": {}, "custom_architectures": ["encoders", "decoders"], "modalities_specific_dim": {"mnist": 1, "svhn": 4}, "modalities_specific_betas": null, "beta": 1.0}
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