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Merge pull request #6909 from svlandeg/fix/docs [ci skip]
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@ -237,11 +237,11 @@ $ python -m spacy init labels [config_path] [output_path] [--code] [--verbose] [
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| `config_path` | Path to [training config](/api/data-formats#config) file containing all settings and hyperparameters. If `-`, the data will be [read from stdin](/usage/training#config-stdin). ~~Union[Path, str] \(positional)~~ |
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| `output_path` | Output directory for the label files. Will create one JSON file per component. ~~Path (positional)~~ |
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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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| `--verbose`, `-V` | Show more detailed messages during training. ~~bool (flag)~~ |
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| `--verbose`, `-V` | Show more detailed messages for debugging purposes. ~~bool (flag)~~ |
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| `--gpu-id`, `-g` | GPU ID or `-1` for CPU. Defaults to `-1`. ~~int (option)~~ |
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| `--help`, `-h` | Show help message and available arguments. ~~bool (flag)~~ |
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| 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)~~ |
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| **CREATES** | The best trained pipeline and the final checkpoint (if training is terminated). |
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| **CREATES** | The label files. |
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## convert {#convert tag="command"}
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@ -173,10 +173,9 @@ and _before_ loading any pipelines.
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### spacy.require_cpu {#spacy.require_cpu tag="function" new="3.0.0"}
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Allocate data and perform operations on CPU.
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If data has already been allocated on GPU, it will not
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be moved. Ideally, this function should be called right after importing spaCy
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and _before_ loading any pipelines.
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Allocate data and perform operations on CPU. If data has already been allocated
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on GPU, it will not be moved. Ideally, this function should be called right
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after importing spaCy and _before_ loading any pipelines.
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> #### Example
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>
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@ -186,9 +185,9 @@ and _before_ loading any pipelines.
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> nlp = spacy.load("en_core_web_sm")
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> ```
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| Name | Description |
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| ----------- | ------------------------------------------------ |
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| **RETURNS** | `True` ~~bool~~ |
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| Name | Description |
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| ----------- | --------------- |
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| **RETURNS** | `True` ~~bool~~ |
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## displaCy {#displacy source="spacy/displacy"}
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@ -545,7 +544,7 @@ label sets.
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| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `path` | The path to the labels file generated with [`init labels`](/api/cli#init-labels). ~~Path~~ |
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| `require` | Whether to require the file to exist. If set to `False` and the labels file doesn't exist, the loader will return `None` and the `initialize` method will extract the labels from the data. Defaults to `False`. ~~bool~~ |
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| **CREATES** | The |
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| **CREATES** | The list of labels. ~~List[str]~~ |
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### Corpus readers {#corpus-readers source="spacy/training/corpus.py" new="3"}
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