Uploading JMVAE in asenella/ms_config_1_alpha_10_beta_250_seed_1
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 sha256:9a0f93b92c0c229eca8c3880802538212e2e3bc335422acdaa6ce2e0d1652be8
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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 sha256:4956023e30802ea68e61626d00c3af891828ed60f038d624da73dff4ded7f42c
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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:b22ae7ee11ea055bff186825876f295afdf93794f9df71426e79727899458971
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size 7971293
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model_config.json
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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}
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