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  variants/4x16/variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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  variants/4x4/variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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  variants/4x16/variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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  variants/16x4/variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
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variants/4x4x4/README.md ADDED
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+ ---
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+ library_name: keras
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+ ---
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
variants/4x4x4/config.json ADDED
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+ {"name": "model_3", "trainable": true, "layers": [{"module": "keras.layers", "class_name": "InputLayer", "config": {"batch_input_shape": [null, 32768], "dtype": "int32", "sparse": false, "ragged": false, "name": "input_4"}, "registered_name": null, "name": "input_4", "inbound_nodes": []}, {"module": "tokun.model", "class_name": "Encoder", "config": {"token_dim": [4, 4, 4], "encoding_dim": 256, "embedding_dim": 256, "latent_dim": 256, "activation": "gelu", "sequence_axis": 1, "feature_axis": -1}, "registered_name": "models>Encoder", "build_config": {"input_shape": [null, 1024]}, "name": "encoder_3", "inbound_nodes": [[["input_4", 0, 0, {}]]]}, {"module": "tokun.model", "class_name": "Decoder", "config": {"token_dim": [4, 4, 4], "encoding_dim": 256, "embedding_dim": 256, "latent_dim": 256, "activation": "gelu", "sequence_axis": 1, "feature_axis": -1}, "registered_name": "models>Decoder", "build_config": {"input_shape": [null, 16, 256]}, "name": "decoder_3", "inbound_nodes": [[["encoder_3", 0, 0, {}]]]}], "input_layers": [["input_4", 0, 0]], "output_layers": [["decoder_3", 0, 0]]}
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