dsingal0
/
mpnet-for-scale
- Public
- 9 runs
Run dsingal0/mpnet-for-scale with an API
Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.
Input schema
The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| text |
string
|
A single string to encode.
|
|
| text_batch |
string
|
A JSON-formatted list of strings to encode.
|
|
| text_file |
string
|
A file containing a JSON array of texts to encode.
|
|
| batch_size |
integer
|
192
|
Batch size to use when processing text data.
|
| normalize_embeddings |
boolean
|
True
|
Whether to normalize embeddings.
|
{
"type": "object",
"title": "Input",
"properties": {
"text": {
"type": "string",
"title": "Text",
"x-order": 0,
"description": "A single string to encode."
},
"text_file": {
"type": "string",
"title": "Text File",
"format": "uri",
"x-order": 2,
"description": "A file containing a JSON array of texts to encode."
},
"batch_size": {
"type": "integer",
"title": "Batch Size",
"default": 192,
"x-order": 3,
"description": "Batch size to use when processing text data."
},
"text_batch": {
"type": "string",
"title": "Text Batch",
"x-order": 1,
"description": "A JSON-formatted list of strings to encode."
},
"normalize_embeddings": {
"type": "boolean",
"title": "Normalize Embeddings",
"default": true,
"x-order": 4,
"description": "Whether to normalize embeddings."
}
}
}
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{
"anyOf": [
{
"type": "array",
"items": {
"type": "string"
}
},
{
"type": "string",
"format": "uri"
}
],
"title": "Output"
}