Hugging Face Embeddings API

openapi: 3.1.0
info:
  title: Hugging Face Dataset Viewer Audio Embeddings API
  description: Query and visualize datasets stored on the Hugging Face Hub through a lightweight REST API. Get dataset splits, preview rows, search and filter data, access Parquet files, retrieve size statistics, and obtain Croissant metadata - all without downloading the entire dataset.
  version: 1.0.0
  termsOfService: https://huggingface.co/terms-of-service
  contact:
    name: Hugging Face Support
    url: https://huggingface.co/support
  license:
    name: Apache 2.0
    url: https://www.apache.org/licenses/LICENSE-2.0
servers:
- url: https://datasets-server.huggingface.co
  description: Hugging Face Dataset Viewer production server
security:
- {}
- bearerAuth: []
tags:
- name: Embeddings
  description: Text embedding endpoints
paths:
  /v1/embeddings:
    post:
      summary: Create Embeddings
      description: Create embedding vectors for input text. Returns dense vector representations useful for semantic search, clustering, and classification tasks.
      operationId: createEmbeddings
      tags:
      - Embeddings
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/EmbeddingRequest'
            examples:
              CreateembeddingsRequestExample:
                summary: Default createEmbeddings request
                x-microcks-default: true
                value:
                  model: example_value
                  input: example_value
                  encoding_format: float
      responses:
        '200':
          description: Embedding response
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/EmbeddingResponse'
              examples:
                Createembeddings200Example:
                  summary: Default createEmbeddings 200 response
                  x-microcks-default: true
                  value:
                    object: example_value
                    data:
                    - object: example_value
                      index: 10
                      embedding:
                      - {}
                    model: example_value
                    usage:
                      prompt_tokens: 10
                      total_tokens: 10
        '400':
          description: Bad request
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Error'
              examples:
                Createembeddings400Example:
                  summary: Default createEmbeddings 400 response
                  x-microcks-default: true
                  value:
                    error:
                      message: example_value
                      type: example_value
                      code: example_value
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
components:
  schemas:
    EmbeddingRequest:
      type: object
      required:
      - model
      - input
      properties:
        model:
          type: string
          description: Embedding model ID
          example: sentence-transformers/all-MiniLM-L6-v2
        input:
          oneOf:
          - type: string
          - type: array
            items:
              type: string
          description: Text input(s) to embed
          example: example_value
        encoding_format:
          type: string
          enum:
          - float
          - base64
          default: float
          example: float
    Error:
      type: object
      properties:
        error:
          type: object
          properties:
            message:
              type: string
              description: Error message
            type:
              type: string
              description: Error type
            code:
              type: string
              description: Error code
          example: example_value
    EmbeddingResponse:
      type: object
      properties:
        object:
          type: string
          const: list
          example: example_value
        data:
          type: array
          items:
            type: object
            properties:
              object:
                type: string
                const: embedding
              index:
                type: integer
              embedding:
                type: array
                items:
                  type: number
                  format: float
          example: []
        model:
          type: string
          example: example_value
        usage:
          type: object
          properties:
            prompt_tokens:
              type: integer
            total_tokens:
              type: integer
          example: example_value
  securitySchemes:
    bearerAuth:
      type: http
      scheme: bearer
      bearerFormat: HF Token
      description: Optional Hugging Face API token. Required for private and gated datasets.