Uploading JNF in asenella/mmnistJNF_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 sha256:9217e777656be5a878b24fb2a7beee55e1fbdf20209543e6457025cbae6cb701
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size 11466904
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encoders.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:a2ddd1468a49c42b8e289848919492ad95f85ef0563a7080b47d5fc376a5f012
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size 17852425
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model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:2e49402d9c88175d99250dfa22e86a41fa8f2176c2a69ab73df49ce9dad88772
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size 56531757
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model_config.json
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{"name": "JNFConfig", "n_modalities": 5, "latent_dim": 128, "input_dims": {"m0": [3, 28, 28], "m1": [3, 28, 28], "m2": [3, 28, 28], "m3": [3, 28, 28], "m4": [3, 28, 28]}, "uses_likelihood_rescaling": false, "decoders_dist": {"m0": "laplace", "m1": "laplace", "m2": "laplace", "m3": "laplace", "m4": "laplace"}, "decoder_dist_params": {}, "custom_architectures": ["encoders", "decoders"], "warmup": 200}
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