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Merge branch 'develop' into nightly.spacy.io
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@ -921,6 +921,14 @@ package is installed in the same environment as spaCy, it will automatically add
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[parallel training](/usage/training#parallel-training) for more details on how
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[parallel training](/usage/training#parallel-training) for more details on how
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it works under the hood.
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it works under the hood.
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<Project id="integrations/ray">
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Get started with parallel training using our project template. It trains a
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simple model on a Universal Dependencies Treebank and lets you parallelize the
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training with Ray.
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</Project>
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You can integrate [`spacy ray train`](/api/cli#ray-train) into your
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You can integrate [`spacy ray train`](/api/cli#ray-train) into your
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`project.yml` just like the regular training command and pass it the config, and
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`project.yml` just like the regular training command and pass it the config, and
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optional output directory or remote storage URL and config overrides if needed.
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optional output directory or remote storage URL and config overrides if needed.
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@ -940,10 +948,6 @@ commands:
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- "training/model-best"
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- "training/model-best"
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```
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```
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<!-- TODO: <Project id="integrations/ray">
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</Project> -->
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---
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---
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### Weights & Biases {#wandb} <IntegrationLogo name="wandb" width={175} height="auto" align="right" />
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### Weights & Biases {#wandb} <IntegrationLogo name="wandb" width={175} height="auto" align="right" />
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@ -895,9 +895,13 @@ cluster. If it's not set, Ray will run locally.
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python -m spacy ray train config.cfg --n-workers 2
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python -m spacy ray train config.cfg --n-workers 2
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```
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```
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<!-- TODO: <Project id="integrations/ray">
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<Project id="integrations/ray">
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</Project> -->
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Get started with parallel training using our project template. It trains a
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simple model on a Universal Dependencies Treebank and lets you parallelize the
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training with Ray.
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</Project>
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### How parallel training works {#parallel-training-details}
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### How parallel training works {#parallel-training-details}
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