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Clarify how to change base Transformer model (#9498) 

* Add note about how the model name is used

* Add link to TransformersModel docs, separate paragraph

* Local link

* Revise docs

* Update website/docs/usage/embeddings-transformers.md

* Update website/docs/usage/embeddings-transformers.md

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
This commit is contained in:
Paul O'Leary McCann 2021-10-19 21:28:20 +00:00 committed by svlandeg
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commit ef4d4f793b
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website/docs/usage/embeddings-transformers.md
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@ -379,6 +379,21 @@ of potentially overlapping `Span` objects to process by the transformer. Several
to process the whole document or individual sentences. When the config is
resolved, the function is created and passed into the model as an argument.
The `name` value is the name of any [HuggingFace model](huggingface-models),
which will be downloaded automatically the first time it's used. You can also
use a local file path. For full details, see the
[`TransformerModel` docs](/api/architectures#TransformerModel).
[huggingface-models]:
https://huggingface.co/models?library=pytorch&sort=downloads
A wide variety of PyTorch models are supported, but some might not work. If a
model doesn't seem to work feel free to open an
[issue](https://github.com/explosion/spacy/issues). Additionally note that
Transformers loaded in spaCy can only be used for tensors, and pretrained
task-specific heads or text generation features cannot be used as part of
the `transformer` pipeline component.
<Infobox variant="warning">
Remember that the `config.cfg` used for training should contain **no missing