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Create trained model vocabulary API

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Create trained model vocabulary API

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Creates a trained model vocabulary. This is supported only for natural language processing (NLP) models.

This functionality is in beta and is subject to change. The design and code is less mature than official GA features and is being provided as-is with no warranties. Beta features are not subject to the support SLA of official GA features.

Request

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PUT _ml/trained_models/<model_id>/vocabulary/

Prerequisites

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Requires the manage_ml cluster privilege. This privilege is included in the machine_learning_admin built-in role.

Description

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The vocabulary is stored in the index as described in inference_config.*.vocabulary of the trained model definition.

Path parameters

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<model_id>: (Required, string) The unique identifier of the trained model.

Request body

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vocabulary: (array) The model vocabulary. Must not be empty.
merges: (Optional, array) The model merges used in byte-pair encoding. The merges must be sub-token pairs, space delimited, and in order of preference. Example: ["f o", "fo o"]. Must be provided for RoBERTa and BART style models.

Examples

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The following example shows how to create a model vocabulary for a previously stored trained model configuration.

PUT _ml/trained_models/elastic__distilbert-base-uncased-finetuned-conll03-english/vocabulary
{
  "vocabulary": [
    "[PAD]",
    "[unused0]",
    ...
  ]
}

The API returns the following results:

{
    "acknowledged": true
}

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