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@ -78,7 +78,7 @@ below).
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| Setting | Description |
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| Setting | Description |
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| ------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| ------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `model` | The Thinc [`Model`](https://thinc.ai/docs/api-model) wrapping the transformer. Defaults to [CuratedTransformerModel](/api/architectures#CuratedTransformerModel). ~~Model[List[Doc], FullCuratedTransformerBatch]~~ |
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| `model` | The Thinc [`Model`](https://thinc.ai/docs/api-model) wrapping the transformer. Defaults to [`XlmrTransformer`](/api/architectures#curated-trf). ~~Model~~ |
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| `frozen` | If `True`, the model's weights are frozen and no backpropagation is performed. ~~bool~~ |
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| `frozen` | If `True`, the model's weights are frozen and no backpropagation is performed. ~~bool~~ |
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| `all_layer_outputs` | If `True`, the model returns the outputs of all the layers. Otherwise, only the output of the last layer is returned. This must be set to `True` if any of the pipe's downstream listeners require the outputs of all transformer layers. ~~bool~~ |
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| `all_layer_outputs` | If `True`, the model returns the outputs of all the layers. Otherwise, only the output of the last layer is returned. This must be set to `True` if any of the pipe's downstream listeners require the outputs of all transformer layers. ~~bool~~ |
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@ -135,9 +135,10 @@ component using its string name and [`nlp.add_pipe`](/api/language#create_pipe).
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Apply the pipe to one document. The document is modified in place, and returned.
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Apply the pipe to one document. The document is modified in place, and returned.
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This usually happens under the hood when the `nlp` object is called on a text
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This usually happens under the hood when the `nlp` object is called on a text
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and all pipeline components are applied to the `Doc` in order. Both
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and all pipeline components are applied to the `Doc` in order. Both
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[`__call__`](/api/transformer#call) and [`pipe`](/api/transformer#pipe) delegate
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[`__call__`](/api/curatedtransformer#call) and
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to the [`predict`](/api/transformer#predict) and
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[`pipe`](/api/curatedtransformer#pipe) delegate to the
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[`set_annotations`](/api/transformer#set_annotations) methods.
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[`predict`](/api/curatedtransformer#predict) and
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[`set_annotations`](/api/curatedtransformer#set_annotations) methods.
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> #### Example
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> #### Example
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>
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>
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@ -157,10 +158,10 @@ to the [`predict`](/api/transformer#predict) and
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Apply the pipe to a stream of documents. This usually happens under the hood
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Apply the pipe to a stream of documents. This usually happens under the hood
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when the `nlp` object is called on a text and all pipeline components are
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when the `nlp` object is called on a text and all pipeline components are
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applied to the `Doc` in order. Both [`__call__`](/api/transformer#call) and
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applied to the `Doc` in order. Both [`__call__`](/api/curatedtransformer#call)
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[`pipe`](/api/transformer#pipe) delegate to the
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and [`pipe`](/api/curatedtransformer#pipe) delegate to the
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[`predict`](/api/transformer#predict) and
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[`predict`](/api/curatedtransformer#predict) and
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[`set_annotations`](/api/transformer#set_annotations) methods.
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[`set_annotations`](/api/curatedtransformer#set_annotations) methods.
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> #### Example
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> #### Example
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>
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>
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@ -402,10 +403,11 @@ serialization by passing in the string names via the `exclude` argument.
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CuratedTransformer tokens and outputs for one `Doc` object. The transformer
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CuratedTransformer tokens and outputs for one `Doc` object. The transformer
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models return tensors that refer to a whole padded batch of documents. These
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models return tensors that refer to a whole padded batch of documents. These
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tensors are wrapped into the
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tensors are wrapped into the
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[FullCuratedTransformerBatch](/api/transformer#fulltransformerbatch) object. The
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[FullCuratedTransformerBatch](/api/curatedtransformer#fulltransformerbatch)
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`FullCuratedTransformerBatch` then splits out the per-document data, which is
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object. The `FullCuratedTransformerBatch` then splits out the per-document data,
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handled by this class. Instances of this class are typically assigned to the
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which is handled by this class. Instances of this class are typically assigned
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[`Doc._.trf_data`](/api/transformer#assigned-attributes) extension attribute.
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to the [`Doc._.trf_data`](/api/curatedtransformer#assigned-attributes) extension
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attribute.
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| Name | Description |
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| Name | Description |
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| -------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
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| -------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
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