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packages/tasks/package.json

@@ -45,4 +45,4 @@
 		"@types/node": "^20.11.5",
 		"quicktype-core": "https://github.com/huggingface/quicktype/raw/pack-18.0.15/packages/quicktype-core/quicktype-core-18.0.15.tgz"
 	}
-}
+}

packages/tasks/src/tasks/audio-classification/inference.ts

@@ -1,24 +1,22 @@
-
 /**
  * Inference code generated from the JSON schema spec in ./spec
- * 
+ *
  * Using src/scripts/inference-codegen
  */
 
-
 /**
  * Inputs for Audio Classification inference
  */
 export interface AudioClassificationInput {
-    /**
-     * On or several audio files to classify
-     */
-    inputs: unknown;
-    /**
-     * Additional inference parameters
-     */
-    parameters?: AudioClassificationParameters;
-    [property: string]: unknown;
+	/**
+	 * On or several audio files to classify
+	 */
+	inputs: unknown;
+	/**
+	 * Additional inference parameters
+	 */
+	parameters?: AudioClassificationParameters;
+	[property: string]: unknown;
 }
 
 /**
@@ -27,24 +25,24 @@ export interface AudioClassificationInput {
  * Additional inference parameters for Audio Classification
  */
 export interface AudioClassificationParameters {
-    /**
-     * When specified, limits the output to the top K most probable classes.
-     */
-    topK?: number;
-    [property: string]: unknown;
+	/**
+	 * When specified, limits the output to the top K most probable classes.
+	 */
+	topK?: number;
+	[property: string]: unknown;
 }
 
 /**
  * Outputs for Audio Classification inference
  */
 export interface AudioClassificationOutput {
-    /**
-     * The predicted class label (model specific).
-     */
-    label: string;
-    /**
-     * The corresponding probability.
-     */
-    score: number;
-    [property: string]: unknown;
+	/**
+	 * The predicted class label (model specific).
+	 */
+	label: string;
+	/**
+	 * The corresponding probability.
+	 */
+	score: number;
+	[property: string]: unknown;
 }

packages/tasks/src/tasks/automatic-speech-recognition/inference.ts

@@ -1,33 +1,31 @@
-
 /**
  * Inference code generated from the JSON schema spec in ./spec
- * 
+ *
  * Using src/scripts/inference-codegen
  */
 
-
 /**
  * Inputs for Automatic Speech Recognition inference
  */
 export interface AutomaticSpeechRecognitionInput {
-    /**
-     * The input audio data
-     */
-    inputs: unknown;
-    /**
-     * Additional inference parameters
-     */
-    parameters?: { [key: string]: unknown };
-    [property: string]: unknown;
+	/**
+	 * The input audio data
+	 */
+	inputs: unknown;
+	/**
+	 * Additional inference parameters
+	 */
+	parameters?: { [key: string]: unknown };
+	[property: string]: unknown;
 }
 
 /**
  * Outputs of inference for the Automatic Speech Recognition task
  */
 export interface AutomaticSpeechRecognitionOutput {
-    /**
-     * The recognized text.
-     */
-    text: string;
-    [property: string]: unknown;
+	/**
+	 * The recognized text.
+	 */
+	text: string;
+	[property: string]: unknown;
 }

packages/tasks/src/tasks/depth-estimation/inference.ts

@@ -1,26 +1,24 @@
-
 /**
  * Inference code generated from the JSON schema spec in ./spec
- * 
+ *
  * Using src/scripts/inference-codegen
  */
 
-
 export type DepthEstimationOutput = unknown[];
 
 /**
  * Inputs for Depth Estimation inference
  */
 export interface DepthEstimationInput {
-    /**
-     * The input image data
-     */
-    inputs: unknown;
-    /**
-     * Additional inference parameters
-     */
-    parameters?: DepthEstimationParameters;
-    [property: string]: unknown;
+	/**
+	 * The input image data
+	 */
+	inputs: unknown;
+	/**
+	 * Additional inference parameters
+	 */
+	parameters?: DepthEstimationParameters;
+	[property: string]: unknown;
 }
 
 /**
@@ -29,9 +27,9 @@ export interface DepthEstimationInput {
  * Additional inference parameters for Depth Estimation
  */
 export interface DepthEstimationParameters {
-    /**
-     * When specified, limits the output to the top K most probable classes.
-     */
-    topK?: number;
-    [property: string]: unknown;
+	/**
+	 * When specified, limits the output to the top K most probable classes.
+	 */
+	topK?: number;
+	[property: string]: unknown;
 }

packages/tasks/src/tasks/document-question-answering/inference.ts

@@ -1,36 +1,34 @@
-
 /**
  * Inference code generated from the JSON schema spec in ./spec
- * 
+ *
  * Using src/scripts/inference-codegen
  */
 
-
 /**
  * Inputs for Document Question Answering inference
  */
 export interface DocumentQuestionAnsweringInput {
-    /**
-     * The
-     */
-    inputs: DocumentQuestionAnsweringInpu[] | DocumentQuestionAnsweringInpu;
-    /**
-     * Additional inference parameters
-     */
-    parameters?: DocumentQuestionAnsweringParameters;
-    [property: string]: unknown;
+	/**
+	 * The
+	 */
+	inputs: DocumentQuestionAnsweringInpu[] | DocumentQuestionAnsweringInpu;
+	/**
+	 * Additional inference parameters
+	 */
+	parameters?: DocumentQuestionAnsweringParameters;
+	[property: string]: unknown;
 }
 
 export interface DocumentQuestionAnsweringInpu {
-    /**
-     * The image on which the question is asked
-     */
-    image?: unknown;
-    /**
-     * A question to ask of the document
-     */
-    question?: string;
-    [property: string]: unknown;
+	/**
+	 * The image on which the question is asked
+	 */
+	image?: unknown;
+	/**
+	 * A question to ask of the document
+	 */
+	question?: string;
+	[property: string]: unknown;
 }
 
 /**
@@ -39,65 +37,65 @@ export interface DocumentQuestionAnsweringInpu {
  * Additional inference parameters for Document Question Answering
  */
 export interface DocumentQuestionAnsweringParameters {
-    /**
-     * If the words in the document are too long to fit with the question for the model, it will
-     * be split in several chunks with some overlap. This argument controls the size of that
-     * overlap.
-     */
-    docStride?: number;
-    /**
-     * Whether to accept impossible as an answer
-     */
-    handleImpossibleAnswer?: boolean;
-    /**
-     * Language to use while running OCR. Defaults to english.
-     */
-    lang?: string;
-    /**
-     * The maximum length of predicted answers (e.g., only answers with a shorter length are
-     * considered).
-     */
-    maxAnswerLen?: number;
-    /**
-     * The maximum length of the question after tokenization. It will be truncated if needed.
-     */
-    maxQuestionLen?: number;
-    /**
-     * The maximum length of the total sentence (context + question) in tokens of each chunk
-     * passed to the model. The context will be split in several chunks (using doc_stride as
-     * overlap) if needed.
-     */
-    maxSeqLen?: number;
-    /**
-     * The number of answers to return (will be chosen by order of likelihood). Can return less
-     * than top_k answers if there are not enough options available within the context.
-     */
-    topK?: number;
-    /**
-     * A list of words and bounding boxes (normalized 0->1000). If provided, the inference will
-     * skip the OCR step and use the provided bounding boxes instead.
-     */
-    wordBoxes?: Array<number[] | string>;
-    [property: string]: unknown;
+	/**
+	 * If the words in the document are too long to fit with the question for the model, it will
+	 * be split in several chunks with some overlap. This argument controls the size of that
+	 * overlap.
+	 */
+	docStride?: number;
+	/**
+	 * Whether to accept impossible as an answer
+	 */
+	handleImpossibleAnswer?: boolean;
+	/**
+	 * Language to use while running OCR. Defaults to english.
+	 */
+	lang?: string;
+	/**
+	 * The maximum length of predicted answers (e.g., only answers with a shorter length are
+	 * considered).
+	 */
+	maxAnswerLen?: number;
+	/**
+	 * The maximum length of the question after tokenization. It will be truncated if needed.
+	 */
+	maxQuestionLen?: number;
+	/**
+	 * The maximum length of the total sentence (context + question) in tokens of each chunk
+	 * passed to the model. The context will be split in several chunks (using doc_stride as
+	 * overlap) if needed.
+	 */
+	maxSeqLen?: number;
+	/**
+	 * The number of answers to return (will be chosen by order of likelihood). Can return less
+	 * than top_k answers if there are not enough options available within the context.
+	 */
+	topK?: number;
+	/**
+	 * A list of words and bounding boxes (normalized 0->1000). If provided, the inference will
+	 * skip the OCR step and use the provided bounding boxes instead.
+	 */
+	wordBoxes?: Array<number[] | string>;
+	[property: string]: unknown;
 }
 
 /**
  * Outputs of inference for the Document Question Answering task
  */
 export interface DocumentQuestionAnsweringOutput {
-    /**
-     * The answer to the question.
-     */
-    answer: string;
-    end:    number;
-    /**
-     * The probability associated to the answer.
-     */
-    score: number;
-    start: number;
-    /**
-     * The index of each word/box pair that is in the answer
-     */
-    words: number[];
-    [property: string]: unknown;
+	/**
+	 * The answer to the question.
+	 */
+	answer: string;
+	end: number;
+	/**
+	 * The probability associated to the answer.
+	 */
+	score: number;
+	start: number;
+	/**
+	 * The index of each word/box pair that is in the answer
+	 */
+	words: number[];
+	[property: string]: unknown;
 }

packages/tasks/src/tasks/feature-extraction/inference.ts

@@ -1,22 +1,20 @@
-
 /**
  * Inference code generated from the JSON schema spec in ./spec
- * 
+ *
  * Using src/scripts/inference-codegen
  */
 
-
 /**
  * Inputs for Feature Extraction inference
  */
 export interface FeatureExtractionInput {
-    /**
-     * One or several texts to get the features of
-     */
-    inputs: string[] | string;
-    /**
-     * Additional inference parameters
-     */
-    parameters?: { [key: string]: unknown };
-    [property: string]: unknown;
+	/**
+	 * One or several texts to get the features of
+	 */
+	inputs: string[] | string;
+	/**
+	 * Additional inference parameters
+	 */
+	parameters?: { [key: string]: unknown };
+	[property: string]: unknown;
 }

packages/tasks/src/tasks/feature-extraction/spec/output.json

@@ -48,4 +48,4 @@
 			}
 		]
 	}
-}
+}