[null,null,["Last updated 2023-08-18 UTC."],[],[],null,["# Module: tfr.extension.premade\n\n\u003cbr /\u003e\n\n|-----------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/ranking/blob/v0.5.3/tensorflow_ranking/extension/premade/__init__.py) |\n\nTensorFlow Ranking Premade Orbit Task Module.\n| **Note:** First - These APIs require These APS require the `tensorflow_models`package. You can install it with `pip install\n| tf-models-official`. Second - Nothing under `tensorflow_ranking.extension.premade` is imported by default. To use these APIs import `premade` in your code: `import tensorflow_ranking.extension.premade`.\n\nModules\n-------\n\n[`tfrbert_task`](../../tfr/extension/premade/tfrbert_task) module: TF-Ranking BERT task.\n\nClasses\n-------\n\n[`class TFRBertConfig`](../../tfr/extension/premade/TFRBertConfig): The tf-ranking BERT task config.\n\n[`class TFRBertDataConfig`](../../tfr/extension/premade/TFRBertDataConfig): Data config for TFR-BERT task.\n\n[`class TFRBertDataLoader`](../../tfr/extension/premade/TFRBertDataLoader): A class to load dataset for TFR-BERT task.\n\n[`class TFRBertModelBuilder`](../../tfr/extension/premade/TFRBertModelBuilder): Model builder for TFR-BERT models.\n\n[`class TFRBertModelConfig`](../../tfr/extension/premade/TFRBertModelConfig): A TFR-BERT model configuration.\n\n[`class TFRBertScorer`](../../tfr/extension/premade/TFRBertScorer): Univariate BERT-based scorer.\n\n[`class TFRBertTask`](../../tfr/extension/premade/TFRBertTask): Task object for tf-ranking BERT.\n\nType Aliases\n------------\n\n[`TensorDict`](../../tfr/extension/premade/TensorDict)\n\n[`TensorLike`](../../tfr/keras/model/TensorLike)\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Other Members ------------- ||\n|-------------|-----------------|\n| DOCUMENT_ID | `'document_id'` |\n| QUERY_ID | `'query_id'` |\n\n\u003cbr /\u003e"]]