mirror of
https://github.com/explosion/spaCy.git
synced 2025-07-10 00:02:19 +03:00
fix link
This commit is contained in:
parent
feb86d5206
commit
15902c5aa2
|
@ -29,7 +29,7 @@ This pipeline component lets you use transformer models in your pipeline.
|
||||||
Supports all models that are available via the
|
Supports all models that are available via the
|
||||||
[HuggingFace `transformers`](https://huggingface.co/transformers) library.
|
[HuggingFace `transformers`](https://huggingface.co/transformers) library.
|
||||||
Usually you will connect subsequent components to the shared transformer using
|
Usually you will connect subsequent components to the shared transformer using
|
||||||
the [TransformerListener](/api/architectures#TransformerListener) layer. This
|
the [TransformerListener](/api/architectures##transformers-Tok2VecListener) layer. This
|
||||||
works similarly to spaCy's [Tok2Vec](/api/tok2vec) component and
|
works similarly to spaCy's [Tok2Vec](/api/tok2vec) component and
|
||||||
[Tok2VecListener](/api/architectures/Tok2VecListener) sublayer.
|
[Tok2VecListener](/api/architectures/Tok2VecListener) sublayer.
|
||||||
|
|
||||||
|
@ -233,7 +233,7 @@ The `Transformer` component therefore does **not** perform a weight update
|
||||||
during its own `update` method. Instead, it runs its transformer model and
|
during its own `update` method. Instead, it runs its transformer model and
|
||||||
communicates the output and the backpropagation callback to any **downstream
|
communicates the output and the backpropagation callback to any **downstream
|
||||||
components** that have been connected to it via the
|
components** that have been connected to it via the
|
||||||
[TransformerListener](/api/architectures#TransformerListener) sublayer. If there
|
[TransformerListener](/api/architectures##transformers-Tok2VecListener) sublayer. If there
|
||||||
are multiple listeners, the last layer will actually backprop to the transformer
|
are multiple listeners, the last layer will actually backprop to the transformer
|
||||||
and call the optimizer, while the others simply increment the gradients.
|
and call the optimizer, while the others simply increment the gradients.
|
||||||
|
|
||||||
|
|
|
@ -101,7 +101,7 @@ it processes a batch of documents, it will pass forward its predictions to the
|
||||||
listeners, allowing the listeners to **reuse the predictions** when they are
|
listeners, allowing the listeners to **reuse the predictions** when they are
|
||||||
eventually called. A similar mechanism is used to pass gradients from the
|
eventually called. A similar mechanism is used to pass gradients from the
|
||||||
listeners back to the model. The [`Transformer`](/api/transformer) component and
|
listeners back to the model. The [`Transformer`](/api/transformer) component and
|
||||||
[TransformerListener](/api/architectures#TransformerListener) layer do the same
|
[TransformerListener](/api/architectures#transformers-Tok2VecListener) layer do the same
|
||||||
thing for transformer models, but the `Transformer` component will also save the
|
thing for transformer models, but the `Transformer` component will also save the
|
||||||
transformer outputs to the
|
transformer outputs to the
|
||||||
[`Doc._.trf_data`](/api/transformer#custom_attributes) extension attribute,
|
[`Doc._.trf_data`](/api/transformer#custom_attributes) extension attribute,
|
||||||
|
@ -179,7 +179,7 @@ interoperates with [PyTorch](https://pytorch.org) and the
|
||||||
giving you access to thousands of pretrained models for your pipelines. There
|
giving you access to thousands of pretrained models for your pipelines. There
|
||||||
are many [great guides](http://jalammar.github.io/illustrated-transformer/) to
|
are many [great guides](http://jalammar.github.io/illustrated-transformer/) to
|
||||||
transformer models, but for practical purposes, you can simply think of them as
|
transformer models, but for practical purposes, you can simply think of them as
|
||||||
a drop-in replacement that let you achieve **higher accuracy** in exchange for
|
drop-in replacements that let you achieve **higher accuracy** in exchange for
|
||||||
**higher training and runtime costs**.
|
**higher training and runtime costs**.
|
||||||
|
|
||||||
### Setup and installation {#transformers-installation}
|
### Setup and installation {#transformers-installation}
|
||||||
|
|
Loading…
Reference in New Issue
Block a user