Uploading MVTCAE in asenella/msMVTCAE_config1_
Browse files- README.md +13 -0
- decoders.pkl +3 -0
- encoders.pkl +3 -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 sha256:3c747478548c6b484a8967e16ad6f4172b07f7071c34bf42c9ed8e6692fd8a6f
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size 2507730
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encoders.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:1253c4509a87cd4e720104c30c860323ce7b11d13c9ae007b40280656c979d18
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size 2711027
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:15beaf1bb7d3e27bb971f518a11a99b54897de784e0226d944cb4e9e17406e66
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size 5166741
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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, "decoders_dist": {"mnist": "laplace", "svhn": "laplace"}, "decoder_dist_params": {}, "custom_architectures": ["encoders", "decoders"], "alpha": 0.6666666666666666, "beta": 2.5}
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