nateraw/mpnet-base-v2-batched

nateraw / mpnet-base-v2-batched

Public
24 runs

Run nateraw/mpnet-base-v2-batched 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
path	string		Path to file containing text as JSONL with 'text' field or valid JSON string list.
texts	string		text to embed, formatted as JSON list of strings (e.g. ["hello", "world"])
batch_size	integer	32	Batch size to use when processing text data.
normalize_embeddings	boolean	True	Whether to normalize embeddings.

{
  "type": "object",
  "title": "Input",
  "properties": {
    "path": {
      "type": "string",
      "title": "Path",
      "format": "uri",
      "x-order": 0,
      "description": "Path to file containing text as JSONL with 'text' field or valid JSON string list."
    },
    "texts": {
      "type": "string",
      "title": "Texts",
      "default": "",
      "x-order": 1,
      "description": "text to embed, formatted as JSON list of strings (e.g. [\"hello\", \"world\"])"
    },
    "batch_size": {
      "type": "integer",
      "title": "Batch Size",
      "default": 32,
      "x-order": 2,
      "description": "Batch size to use when processing text data."
    },
    "normalize_embeddings": {
      "type": "boolean",
      "title": "Normalize Embeddings",
      "default": true,
      "x-order": 3,
      "description": "Whether to normalize embeddings."
    }
  }
}

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema

{
  "type": "string",
  "title": "Output",
  "format": "uri"
}