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pretrained-bert-uncased-100

Transformers
TensorFlow
bert
pretraining
generated_from_keras_callback
Inference Endpoints
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Upload TFBertForPreTraining

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  1. README.md +151 -0
  2. config.json +24 -0
  3. tf_model.h5 +3 -0
README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: pretrained-bert-uncased-100
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information Keras had access to. You should
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+ probably proofread and complete it, then remove this comment. -->
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+
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+ # pretrained-bert-uncased-100
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: nan
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+ - Validation Loss: nan
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+ - Epoch: 99
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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
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - optimizer: {'name': 'Adam', 'learning_rate': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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+ - training_precision: float32
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+
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+ ### Training results
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+
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+ | Train Loss | Validation Loss | Epoch |
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+ |:----------:|:---------------:|:-----:|
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+ | 8.9143 | 9.5645 | 0 |
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+ | 7.0594 | 9.6348 | 1 |
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+ | 6.5846 | 10.4810 | 2 |
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+ | 6.1703 | 10.3871 | 3 |
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+ | 6.2204 | 10.4579 | 4 |
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+ | 5.9912 | 11.0864 | 5 |
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+ | 6.1670 | 10.8475 | 6 |
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+ | 5.9434 | 11.3010 | 7 |
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+ | 5.7437 | 10.9369 | 8 |
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+ | 5.8586 | 11.1204 | 9 |
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+ | 5.8595 | 11.5750 | 10 |
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+ | 5.7608 | 12.0360 | 11 |
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+ | 5.7219 | 11.4627 | 12 |
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+ | 5.8005 | 11.6418 | 13 |
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+ | 5.8040 | 11.7480 | 14 |
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+ | 5.6217 | 11.9184 | 15 |
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+ | 5.7095 | 11.9534 | 16 |
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+ | 5.7426 | 12.3718 | 17 |
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+ | 5.6365 | 11.7388 | 18 |
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+ | 5.6291 | 12.1911 | 19 |
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+ | 5.7437 | 12.3435 | 20 |
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+ | 5.6589 | 12.1656 | 21 |
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+ | 5.6835 | 12.1785 | 22 |
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+ | 5.7466 | 12.1934 | 23 |
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+ | 5.5470 | 12.4191 | 24 |
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+ | 5.4824 | 12.3100 | 25 |
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+ | 5.7151 | 12.7568 | 26 |
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+ | 5.6431 | 12.3509 | 27 |
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+ | 5.6188 | 12.4724 | 28 |
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+ | 5.8535 | 12.3254 | 29 |
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+ | 5.6457 | 12.5312 | 30 |
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+ | 5.5622 | 12.6608 | 31 |
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+ | 5.8279 | 12.6227 | 32 |
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+ | 5.5720 | 13.0677 | 33 |
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+ | 5.6025 | 12.5078 | 34 |
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+ | 5.6830 | 12.2650 | 35 |
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+ | 5.6089 | 12.5420 | 36 |
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+ | 5.5842 | 12.4246 | 37 |
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+ | 5.5823 | 12.8527 | 38 |
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+ | 5.6300 | 12.9306 | 39 |
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+ | 5.4753 | 13.0506 | 40 |
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+ | 5.5736 | 12.8653 | 41 |
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+ | 5.6237 | 13.1275 | 42 |
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+ | 5.5517 | 12.6621 | 43 |
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+ | 5.6275 | 13.0830 | 44 |
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+ | 5.4596 | 13.0334 | 45 |
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+ | 5.5789 | 13.1859 | 46 |
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+ | 5.5381 | 13.4193 | 47 |
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+ | 5.4859 | 13.3659 | 48 |
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+ | 5.6895 | 13.1080 | 49 |
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+ | 5.7514 | 13.1102 | 50 |
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+ | 5.5406 | 13.3108 | 51 |
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+ | 5.6091 | 13.3639 | 52 |
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+ | 5.5978 | 13.3497 | 53 |
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+ | 5.6819 | 13.3768 | 54 |
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+ | 5.6097 | 12.7091 | 55 |
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+ | 5.7161 | 13.1289 | 56 |
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+ | 5.5263 | 13.5468 | 57 |
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+ | 5.5250 | 13.4408 | 58 |
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+ | 5.5677 | 13.7557 | 59 |
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+ | 5.6698 | 13.0456 | 60 |
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+ | 5.5404 | 13.2635 | 61 |
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+ | 5.5019 | 13.5839 | 62 |
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+ | 5.5027 | 13.3752 | 63 |
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+ | 5.5898 | 13.5648 | 64 |
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+ | 5.5646 | 13.1321 | 65 |
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+ | 5.6336 | 13.4493 | 66 |
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+ | 5.6596 | 13.0167 | 67 |
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+ | 5.7952 | 13.6155 | 68 |
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+ | 5.7404 | 13.4588 | 69 |
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+ | 5.5704 | 13.3443 | 70 |
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+ | 5.4927 | 13.6466 | 71 |
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+ | 5.7395 | 13.6197 | 72 |
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+ | 5.5994 | 13.3629 | 73 |
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+ | 5.5902 | 14.0645 | 74 |
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+ | 5.7020 | 13.7721 | 75 |
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+ | 5.6767 | 13.4775 | 76 |
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+ | 5.6172 | 13.7838 | 77 |
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+ | 5.6232 | 13.7676 | 78 |
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+ | 5.6285 | 13.4416 | 79 |
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+ | 5.6174 | 13.5767 | 80 |
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+ | 5.5878 | 13.7731 | 81 |
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+ | 5.6670 | 14.1654 | 82 |
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+ | 5.5013 | 14.2273 | 83 |
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+ | 5.6745 | 13.9600 | 84 |
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+ | 5.6135 | 13.8017 | 85 |
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+ | 5.6932 | 13.6257 | 86 |
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+ | 5.4745 | 13.9570 | 87 |
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+ | 5.6542 | 14.0449 | 88 |
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+ | 5.5748 | 13.6820 | 89 |
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+ | 5.6025 | 13.7910 | 90 |
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+ | 5.6333 | 14.4047 | 91 |
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+ | nan | nan | 92 |
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+ | nan | nan | 93 |
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+ | nan | nan | 94 |
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+ | nan | nan | 95 |
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+ | nan | nan | 96 |
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+ | nan | nan | 97 |
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+ | nan | nan | 98 |
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+ | nan | nan | 99 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.27.0.dev0
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+ - TensorFlow 2.9.2
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+ - Datasets 2.9.0
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+ - Tokenizers 0.13.2
config.json ADDED
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+ {
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+ "architectures": [
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+ "BertForPreTraining"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "transformers_version": "4.27.0.dev0",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 30522
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+ }
tf_model.h5 ADDED
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+ size 536063536