Create a trained model vocabulary
Added in 8.0.0
This API is supported only for natural language processing (NLP) models.
The vocabulary is stored in the index as described in inference_config.*.vocabulary of the trained model definition.
Path parameters
-
model_id
string Required The unique identifier of the trained model.
Body
Required
-
vocabulary
array[string] Required The model vocabulary, which must not be empty.
-
merges
array[string] The optional model merges if required by the tokenizer.
-
scores
array[number] The optional vocabulary value scores if required by the tokenizer.
PUT
/_ml/trained_models/{model_id}/vocabulary
curl \
--request PUT 'http://api.example.com/_ml/trained_models/{model_id}/vocabulary' \
--header "Authorization: $API_KEY" \
--header "Content-Type: application/json" \
--data '{"vocabulary":["string"],"merges":["string"],"scores":[42.0]}'
Request examples
{
"vocabulary": [
"string"
],
"merges": [
"string"
],
"scores": [
42.0
]
}
Response examples (200)
{
"acknowledged": true
}