Uploading JMVAE in asenella/ms_config_1_alpha_10_beta_1_seed_2
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 sha256:927ef0a57a832aef1fe6384d658a0918643a7f59637cf578639d3a2358c24ce9
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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 sha256:72749f02326900955d8efc236466b27cc250bd030100d1abe6801267b817d3df
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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 sha256:67ccb43de60ccb015b7954b47971b0fb5b2eddcd2f9bf31fb8dfa1cbe12bf6a4
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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": 1.0}
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