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Apply suggestions from code review
Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
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@ -189,7 +189,7 @@ $ python -m spacy init fill-config [base_path] [output_file] [--diff]
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Auto-fill the Hugging Face model hyperpameters and loader parameters of a
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[Curated Transformer](/api/curatedtransformer) pipeline component in a
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[.cfg file](/usage/training#config). The name and revision of the Hugging Face
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[.cfg file](/usage/training#config). The name and revision of the Hugging Face model
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can either be passed as command-line arguments or read from the
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`initialize.components.transformer.encoder_loader` config section.
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@ -201,7 +201,7 @@ $ python -m spacy init fill-curated-transformer [base_path] [output_file] [--mod
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| ------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
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| `base_path` | Path to base config to fill, e.g. generated by the [quickstart widget](/usage/training#quickstart). ~~Path (positional)~~ |
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| `output_file` | Path to output `.cfg` file or "-" to write to stdout so you can pipe it to a file. Defaults to "-" (stdout). ~~Path (positional)~~ |
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| `--model-name`, `-m` | Name of the Hugging Face model. Defaults to the model name in from the encoder loader config. ~~Optional[str] (option)~~ |
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| `--model-name`, `-m` | Name of the Hugging Face model. Defaults to the model name from the encoder loader config. ~~Optional[str] (option)~~ |
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| `--model-revision`, `-r` | Revision of the Hugging Face model. Defaults to `main`. ~~Optional[str] (option)~~ |
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| `--pipe-name`, `-n` | Name of the Curated Transformer pipe whose config is to be filled. Defaults to the first transformer pipe. ~~Optional[str] (option)~~ |
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| `--code`, `-c` | Path to Python file with additional code to be imported. Allows [registering custom functions](/usage/training#custom-functions) for new architectures. ~~Optional[Path] \(option)~~ |
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