Create trained model vocabulary APIedit
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.
Requestedit
PUT _ml/trained_models/<model_id>/vocabulary/
Prerequisitesedit
Requires the manage_ml cluster privilege. This privilege is included in the
machine_learning_admin built-in role.
Descriptionedit
The vocabulary is stored in the index as described in
inference_config.*.vocabulary of the trained model definition.
Path parametersedit
-
<model_id> - (Required, string) The unique identifier of the trained model.
Request bodyedit
-
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.
Examplesedit
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
}