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Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
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Madeesh Kannan 2023-08-11 10:37:21 +02:00 committed by GitHub
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website/docs/api/curated-transformer.mdx
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@ -58,8 +58,8 @@ The default config is defined by the pipeline component factory and describes
how the component should be configured. You can override its settings via the
`config` argument on [`nlp.add_pipe`](/api/language#add_pipe) or in your
[`config.cfg` for training](/usage/training#config). See the
[model architectures](/api/architectures#transformers) documentation for details
on the transformer architectures and their arguments and hyperparameters.
[model architectures](/api/architectures#curated-trf) documentation for details
on the curated transformer architectures and their arguments and hyperparameters.
Note that the default config does not include the mandatory `vocab_size`
hyperparameter as this value can differ between different models. So, you will
@ -100,7 +100,7 @@ https://github.com/explosion/spacy-curated-transformers/blob/main/spacy_curated_
> "@architectures": "spacy-curated-transformers.XlmrTransformer.v1",
> "vocab_size": 250002,
> "num_hidden_layers": 12,
> "hidden_width": 768
> "hidden_width": 768,
> "piece_encoder": {
> "@architectures": "spacy-curated-transformers.XlmrSentencepieceEncoder.v1"
> }
@ -145,7 +145,7 @@ to the [`predict`](/api/transformer#predict) and
> doc = nlp("This is a sentence.")
> trf = nlp.add_pipe("curated_transformer")
> # This usually happens under the hood
> processed = transformer(doc)
> processed = trf(doc)
> ```
| Name | Description |