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Use new-style tags in docs

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Paul O'Leary McCann 2023-01-12 13:53:58 +09:00
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@ -250,12 +250,12 @@ $ python -m spacy init labels [config_path] [output_path] [--code] [--verbose] [
| overrides | Config parameters to override. Should be options starting with `--` that correspond to the config section and value to override, e.g. `--paths.train ./train.spacy`. ~~Any (option/flag)~~ |
| **CREATES** | The label files. |
## configure {#configure new="TODO"}
## configure {id="configure", new="TODO"}
Modify or combine existing configs in high-level ways. Can be used to automate
config changes made as part of the development cycle.
### configure resume {#configure-resume tag="command"}
### configure resume {id="configure-resume", tag="command"}
Modify the input config for use in resuming training. When resuming training,
all components are sourced from the previously trained pipeline.
@ -269,7 +269,7 @@ $ python -m spacy configure resume [base_model] [output_file]
| `base_model` | A trained pipeline to resume training (package name or path). ~~str (positional)~~ |
| `output_file` | Path to output `.cfg` file or `-` to write the config to stdout (so you can pipe it forward to a file or to the `train` command). Note that if you're writing to stdout, no additional logging info is printed. ~~Path (positional)~~ |
### configure transformer {#configure-transformer tag="command"}
### configure transformer {id="configure-transformer", tag="command"}
Modify the base config to use a transformer component, optionally specifying the
base transformer to use. Useful for converting a CNN tok2vec pipeline to use
@ -291,7 +291,7 @@ $ python -m spacy configure transformer [base_model] [output_file] [--transforme
| `output_file` | Path to output `.cfg` file or `-` to write the config to stdout (so you can pipe it forward to a file or to the `train` command). Note that if you're writing to stdout, no additional logging info is printed. ~~Path (positional)~~ |
| `transformer_name` | The name of the base HuggingFace model to use. Defaults to `roberta-base`. ~~str (option)~~ |
### configure tok2vec {#configure-tok2vec tag="command"}
### configure tok2vec {id="configure-tok2vec", tag="command"}
Modify the base model config to use a CNN tok2vec component. Useful for
generating a config from a transformer-based model for faster training
@ -306,7 +306,7 @@ $ python -m spacy configure tok2vec [base_model] [output_file]
| `base_model` | A trained pipeline to resume training (package name or path). ~~str (positional)~~ |
| `output_file` | Path to output `.cfg` file or `-` to write the config to stdout (so you can pipe it forward to a file or to the `train` command). Note that if you're writing to stdout, no additional logging info is printed. ~~Path (positional)~~ |
### configure merge {#configure-merge tag="command"}
### configure merge {id="configure-merge", tag="command"}
Take two pipelines and create a new one with components from both of them,
handling the configuration of listeners. Note that unlike other commands, this