openapi: 3.1.0 info: title: Hugging Face Dataset Viewer Audio Text Generation 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: Text Generation description: Text generation endpoints paths: /v1/completions: post: summary: Create Text Completion description: Create a text completion for a given prompt. Supports standard completion parameters compatible with the OpenAI API format. operationId: createCompletion tags: - Text Generation requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/CompletionRequest' examples: CreatecompletionRequestExample: summary: Default createCompletion request x-microcks-default: true value: model: example_value prompt: example_value max_tokens: 10 temperature: 42.5 top_p: 42.5 stop: - example_value stream: true seed: 10 responses: '200': description: Text completion response content: application/json: schema: $ref: '#/components/schemas/CompletionResponse' examples: Createcompletion200Example: summary: Default createCompletion 200 response x-microcks-default: true value: id: abc123 object: example_value created: 10 model: example_value choices: - text: example_value index: 10 finish_reason: example_value usage: prompt_tokens: 10 completion_tokens: 10 total_tokens: 10 text/event-stream: schema: $ref: '#/components/schemas/CompletionStreamResponse' examples: Createcompletion200Example: summary: Default createCompletion 200 response x-microcks-default: true value: id: abc123 object: example_value created: 10 model: example_value choices: - text: example_value index: 10 finish_reason: example_value '400': description: Bad request content: application/json: schema: $ref: '#/components/schemas/Error' examples: Createcompletion400Example: summary: Default createCompletion 400 response x-microcks-default: true value: error: message: example_value type: example_value code: example_value x-microcks-operation: delay: 0 dispatcher: FALLBACK /generate: post: summary: Generate Text description: Generate text from a prompt using the loaded model. Returns the full generated text in a single response. operationId: generate tags: - Text Generation requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/GenerateRequest' examples: GenerateRequestExample: summary: Default generate request x-microcks-default: true value: inputs: example_value parameters: max_new_tokens: 10 temperature: 42.5 top_p: 42.5 top_k: 10 repetition_penalty: 42.5 do_sample: true seed: 10 stop: - example_value watermark: true return_full_text: true decoder_input_details: true details: true truncate: 10 typical_p: 42.5 best_of: 10 grammar: type: json value: example_value responses: '200': description: Generated text content: application/json: schema: $ref: '#/components/schemas/GenerateResponse' examples: Generate200Example: summary: Default generate 200 response x-microcks-default: true value: generated_text: example_value details: finish_reason: length generated_tokens: 10 seed: 10 prefill: - id: abc123 text: example_value logprob: 42.5 tokens: - id: abc123 text: example_value logprob: 42.5 special: true best_of_sequences: - {} headers: x-compute-type: schema: type: string description: Compute backend used x-compute-characters: schema: type: integer description: Number of input characters x-total-time: schema: type: number description: Total inference time in milliseconds x-validation-time: schema: type: number description: Input validation time in milliseconds x-queue-time: schema: type: number description: Queue wait time in milliseconds x-inference-time: schema: type: number description: Model inference time in milliseconds x-time-per-token: schema: type: number description: Average time per generated token in milliseconds x-prompt-tokens: schema: type: integer description: Number of prompt tokens x-generated-tokens: schema: type: integer description: Number of generated tokens '400': description: Invalid input - validation error content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' examples: Generate400Example: summary: Default generate 400 response x-microcks-default: true value: error: example_value error_type: example_value '422': description: Generation error content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' examples: Generate422Example: summary: Default generate 422 response x-microcks-default: true value: error: example_value error_type: example_value '429': description: Model is overloaded content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' examples: Generate429Example: summary: Default generate 429 response x-microcks-default: true value: error: example_value error_type: example_value x-microcks-operation: delay: 0 dispatcher: FALLBACK /generate_stream: post: summary: Generate Text With Streaming description: Generate text from a prompt using Server-Sent Events (SSE) streaming. Tokens are returned incrementally as they are generated. operationId: generateStream tags: - Text Generation requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/GenerateRequest' examples: GeneratestreamRequestExample: summary: Default generateStream request x-microcks-default: true value: inputs: example_value parameters: max_new_tokens: 10 temperature: 42.5 top_p: 42.5 top_k: 10 repetition_penalty: 42.5 do_sample: true seed: 10 stop: - example_value watermark: true return_full_text: true decoder_input_details: true details: true truncate: 10 typical_p: 42.5 best_of: 10 grammar: type: json value: example_value responses: '200': description: Stream of generated tokens content: text/event-stream: schema: $ref: '#/components/schemas/StreamResponse' examples: Generatestream200Example: summary: Default generateStream 200 response x-microcks-default: true value: token: id: abc123 text: example_value logprob: 42.5 special: true generated_text: example_value details: finish_reason: example_value generated_tokens: 10 seed: 10 '400': description: Invalid input content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' examples: Generatestream400Example: summary: Default generateStream 400 response x-microcks-default: true value: error: example_value error_type: example_value '429': description: Model is overloaded content: application/json: schema: $ref: '#/components/schemas/ErrorResponse' examples: Generatestream429Example: summary: Default generateStream 429 response x-microcks-default: true value: error: example_value error_type: example_value x-microcks-operation: delay: 0 dispatcher: FALLBACK components: schemas: GenerateRequest: type: object required: - inputs properties: inputs: type: string description: Input prompt text example: What is deep learning? parameters: type: object properties: max_new_tokens: type: integer description: Maximum number of tokens to generate default: 20 example: 100 temperature: type: number format: float description: Sampling temperature (higher = more random) minimum: 0 example: 0.7 top_p: type: number format: float description: Nucleus sampling probability threshold minimum: 0 maximum: 1 example: 0.95 top_k: type: integer description: Top-k sampling parameter minimum: 0 example: 50 repetition_penalty: type: number format: float description: Repetition penalty (1.0 = no penalty) example: 1.1 do_sample: type: boolean description: Whether to use sampling vs greedy decoding default: false seed: type: integer description: Random seed for reproducibility stop: type: array items: type: string description: Stop sequences watermark: type: boolean description: Whether to add a watermark to generated text default: false return_full_text: type: boolean description: Include the input prompt in the response default: false decoder_input_details: type: boolean description: Return decoder input token details default: false details: type: boolean description: Return generation details (tokens, logprobs, etc.) default: false truncate: type: integer description: Truncate input to this many tokens typical_p: type: number format: float description: Typical decoding probability threshold best_of: type: integer description: Generate this many sequences and return the best minimum: 1 grammar: type: object description: Grammar constraints for generation properties: type: type: string enum: - json - regex value: type: string description: Grammar specification (JSON schema or regex) example: example_value CompletionResponse: type: object properties: id: type: string example: abc123 object: type: string const: text_completion example: example_value created: type: integer example: 10 model: type: string example: example_value choices: type: array items: type: object properties: text: type: string index: type: integer finish_reason: type: string example: [] usage: $ref: '#/components/schemas/Usage' CompletionRequest: type: object required: - model - prompt properties: model: type: string description: Model ID to use example: example_value prompt: oneOf: - type: string - type: array items: type: string description: Prompt(s) to generate completions for example: example_value max_tokens: type: integer default: 16 example: 10 temperature: type: number minimum: 0 maximum: 2 default: 1.0 example: 42.5 top_p: type: number minimum: 0 maximum: 1 default: 1.0 example: 42.5 stop: type: array items: type: string maxItems: 4 example: [] stream: type: boolean default: false example: true seed: type: integer example: 10 Usage: type: object properties: prompt_tokens: type: integer description: Number of tokens in the prompt example: 10 completion_tokens: type: integer description: Number of tokens in the completion example: 10 total_tokens: type: integer description: Total tokens used example: 10 CompletionStreamResponse: type: object properties: id: type: string example: abc123 object: type: string const: text_completion example: example_value created: type: integer example: 10 model: type: string example: example_value choices: type: array items: type: object properties: text: type: string index: type: integer finish_reason: type: string example: [] ErrorResponse: type: object properties: error: type: string description: Error message example: example_value error_type: type: string description: Error type classification example: example_value StreamResponse: type: object properties: token: type: object properties: id: type: integer text: type: string logprob: type: number special: type: boolean example: example_value generated_text: type: string description: Full generated text (only in the last event) example: example_value details: type: object description: Generation details (only in the last event) properties: finish_reason: type: string generated_tokens: type: integer seed: type: integer example: example_value 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 GenerateResponse: type: object properties: generated_text: type: string description: The generated text example: example_value details: type: object properties: finish_reason: type: string enum: - length - eos_token - stop_sequence description: Reason generation stopped generated_tokens: type: integer description: Number of generated tokens seed: type: integer description: Sampling seed used prefill: type: array items: type: object properties: id: type: integer text: type: string logprob: type: number description: Prefill token details tokens: type: array items: type: object properties: id: type: integer text: type: string logprob: type: number special: type: boolean description: Generated token details best_of_sequences: type: array items: type: object description: Best-of sequences details example: example_value securitySchemes: bearerAuth: type: http scheme: bearer bearerFormat: HF Token description: Optional Hugging Face API token. Required for private and gated datasets.