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@huggingface/inference

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Classes

Interfaces

Type Aliases

AudioClassificationArgs

Ƭ AudioClassificationArgs: BaseArgs & AudioClassificationInput | LegacyAudioInput

Defined in

inference/src/tasks/audio/audioClassification.ts:9

AudioToAudioArgs

Ƭ AudioToAudioArgs: BaseArgs & { inputs: Blob } | LegacyAudioInput

Defined in

inference/src/tasks/audio/audioToAudio.ts:8

AuthMethod

Ƭ AuthMethod: "none" | "hf-token" | "credentials-include" | "provider-key"

Defined in

inference/src/types.ts:168

AutomaticSpeechRecognitionArgs

Ƭ AutomaticSpeechRecognitionArgs: BaseArgs & AutomaticSpeechRecognitionInput | LegacyAudioInput

Defined in

inference/src/tasks/audio/automaticSpeechRecognition.ts:8

DocumentQuestionAnsweringArgs

Ƭ DocumentQuestionAnsweringArgs: BaseArgs & DocumentQuestionAnsweringInput & { inputs: DocumentQuestionAnsweringInputData & { image: Blob } }

Defined in

inference/src/tasks/multimodal/documentQuestionAnswering.ts:13

FeatureExtractionArgs

Ƭ FeatureExtractionArgs: BaseArgs & FeatureExtractionInput & FeatureExtractionOAICompatInput

Defined in

inference/src/tasks/nlp/featureExtraction.ts:12

FeatureExtractionOutput

Ƭ FeatureExtractionOutput: (number | number[] | number[][])[]

Returned values are a multidimensional array of floats (dimension depending on if you sent a string or a list of string, and if the automatic reduction, usually mean_pooling for instance was applied for you or not. This should be explained on the model’s README).

Defined in

inference/src/tasks/nlp/featureExtraction.ts:17

FillMaskArgs

Ƭ FillMaskArgs: BaseArgs & FillMaskInput

Defined in

inference/src/tasks/nlp/fillMask.ts:7

ImageClassificationArgs

Ƭ ImageClassificationArgs: BaseArgs & ImageClassificationInput | LegacyImageInput

Defined in

inference/src/tasks/cv/imageClassification.ts:8

ImageSegmentationArgs

Ƭ ImageSegmentationArgs: BaseArgs & ImageSegmentationInput

Defined in

inference/src/tasks/cv/imageSegmentation.ts:8

ImageToImageArgs

Ƭ ImageToImageArgs: BaseArgs & ImageToImageInput

Defined in

inference/src/tasks/cv/imageToImage.ts:8

ImageToTextArgs

Ƭ ImageToTextArgs: BaseArgs & ImageToTextInput | LegacyImageInput

Defined in

inference/src/tasks/cv/imageToText.ts:9

ImageToVideoArgs

Ƭ ImageToVideoArgs: BaseArgs & ImageToVideoInput

Defined in

inference/src/tasks/cv/imageToVideo.ts:8

InferenceProvider

Ƭ InferenceProvider: typeof INFERENCE_PROVIDERS[number]

Defined in

inference/src/types.ts:75

InferenceProviderOrPolicy

Ƭ InferenceProviderOrPolicy: typeof PROVIDERS_OR_POLICIES[number]

Defined in

inference/src/types.ts:77

InferenceTask

Ƭ InferenceTask: Exclude\<PipelineType, "other"> | "conversational"

Defined in

inference/src/types.ts:45

ModelId

Ƭ ModelId: string

HF model id, like “meta-llama/Llama-3.3-70B-Instruct”

Defined in

inference/src/types.ts:6

ObjectDetectionArgs

Ƭ ObjectDetectionArgs: BaseArgs & ObjectDetectionInput | LegacyImageInput

Defined in

inference/src/tasks/cv/objectDetection.ts:8

QuestionAnsweringArgs

Ƭ QuestionAnsweringArgs: BaseArgs & QuestionAnsweringInput

Defined in

inference/src/tasks/nlp/questionAnswering.ts:8

RequestArgs

Ƭ RequestArgs: BaseArgs & { data: Blob | ArrayBuffer } | { inputs: unknown } | { prompt: string } | { text: string } | { audio_url: string } | ChatCompletionInput & { parameters?: Record\<string, unknown> }

Defined in

inference/src/types.ts:156

SentenceSimilarityArgs

Ƭ SentenceSimilarityArgs: BaseArgs & SentenceSimilarityInput

Defined in

inference/src/tasks/nlp/sentenceSimilarity.ts:7

SummarizationArgs

Ƭ SummarizationArgs: BaseArgs & SummarizationInput

Defined in

inference/src/tasks/nlp/summarization.ts:7

TableQuestionAnsweringArgs

Ƭ TableQuestionAnsweringArgs: BaseArgs & TableQuestionAnsweringInput

Defined in

inference/src/tasks/nlp/tableQuestionAnswering.ts:7

TabularClassificationArgs

Ƭ TabularClassificationArgs: BaseArgs & { inputs: { data: Record\<string, string[]> } }

Defined in

inference/src/tasks/tabular/tabularClassification.ts:6

TabularClassificationOutput

Ƭ TabularClassificationOutput: number[]

A list of predicted labels for each row

Defined in

inference/src/tasks/tabular/tabularClassification.ts:18

TabularRegressionArgs

Ƭ TabularRegressionArgs: BaseArgs & { inputs: { data: Record\<string, string[]> } }

Defined in

inference/src/tasks/tabular/tabularRegression.ts:6

TabularRegressionOutput

Ƭ TabularRegressionOutput: number[]

a list of predicted values for each row

Defined in

inference/src/tasks/tabular/tabularRegression.ts:18

TextClassificationArgs

Ƭ TextClassificationArgs: BaseArgs & TextClassificationInput

Defined in

inference/src/tasks/nlp/textClassification.ts:7

TextGenerationStreamFinishReason

Ƭ TextGenerationStreamFinishReason: "length" | "eos_token" | "stop_sequence"

Defined in

inference/src/tasks/nlp/textGenerationStream.ts:48

TextToImageArgs

Ƭ TextToImageArgs: BaseArgs & TextToImageInput

Defined in

inference/src/tasks/cv/textToImage.ts:8

TextToVideoArgs

Ƭ TextToVideoArgs: BaseArgs & TextToVideoInput

Defined in

inference/src/tasks/cv/textToVideo.ts:11

TextToVideoOutput

Ƭ TextToVideoOutput: Blob

Defined in

inference/src/tasks/cv/textToVideo.ts:13

TokenClassificationArgs

Ƭ TokenClassificationArgs: BaseArgs & TokenClassificationInput

Defined in

inference/src/tasks/nlp/tokenClassification.ts:7

TranslationArgs

Ƭ TranslationArgs: BaseArgs & TranslationInput

Defined in

inference/src/tasks/nlp/translation.ts:7

VisualQuestionAnsweringArgs

Ƭ VisualQuestionAnsweringArgs: BaseArgs & VisualQuestionAnsweringInput & { inputs: VisualQuestionAnsweringInputData & { image: Blob } }

Defined in

inference/src/tasks/multimodal/visualQuestionAnswering.ts:13

ZeroShotClassificationArgs

Ƭ ZeroShotClassificationArgs: BaseArgs & ZeroShotClassificationInput

Defined in

inference/src/tasks/nlp/zeroShotClassification.ts:7

ZeroShotImageClassificationArgs

Ƭ ZeroShotImageClassificationArgs: BaseArgs & ZeroShotImageClassificationInput | LegacyZeroShotImageClassificationInput

Defined in

inference/src/tasks/cv/zeroShotImageClassification.ts:15

Variables

INFERENCE _ PROVIDERS

• Const INFERENCE_PROVIDERS: readonly ["baseten", "black-forest-labs", "cerebras", "clarifai", "cohere", "fal-ai", "featherless-ai", "fireworks-ai", "groq", "hf-inference", "hyperbolic", "nebius", "novita", "nscale", "openai", "ovhcloud", "publicai", "replicate", "sambanova", "scaleway", "together", "wavespeed", "zai-org"]

Defined in

inference/src/types.ts:47

PROVIDERS

• Const PROVIDERS: Record\<InferenceProvider, Partial\<Record\<InferenceTask, TaskProviderHelper>>>

Defined in

inference/src/lib/getProviderHelper.ts:60

PROVIDERS _ HUB _ ORGS

• Const PROVIDERS_HUB_ORGS: Record\<InferenceProvider, string>

The org namespace on the HF Hub i.e. hf.co/…

Whenever possible, InferenceProvider should == org namespace

Defined in

inference/src/types.ts:84

PROVIDERS _ OR _ POLICIES

• Const PROVIDERS_OR_POLICIES: readonly ["baseten", "black-forest-labs", "cerebras", "clarifai", "cohere", "fal-ai", "featherless-ai", "fireworks-ai", "groq", "hf-inference", "hyperbolic", "nebius", "novita", "nscale", "openai", "ovhcloud", "publicai", "replicate", "sambanova", "scaleway", "together", "wavespeed", "zai-org", "auto"]

Defined in

inference/src/types.ts:73

Functions

audioClassification

▸ audioClassification(args, options?): Promise\<AudioClassificationOutput>

This task reads some audio input and outputs the likelihood of classes. Recommended model: superb/hubert-large-superb-er

Parameters

Name	Type
`args`	`AudioClassificationArgs`
`options?`	`Options`

Returns

Promise\<AudioClassificationOutput>

Defined in

inference/src/tasks/audio/audioClassification.ts:15

audioToAudio

▸ audioToAudio(args, options?): Promise\<AudioToAudioOutput[]>

This task reads some audio input and outputs one or multiple audio files. Example model: speechbrain/sepformer-wham does audio source separation.

Parameters

Name	Type
`args`	`AudioToAudioArgs`
`options?`	`Options`

Returns

Promise\<AudioToAudioOutput[]>

Defined in

inference/src/tasks/audio/audioToAudio.ts:39

automaticSpeechRecognition

▸ automaticSpeechRecognition(args, options?): Promise\<AutomaticSpeechRecognitionOutput>

This task reads some audio input and outputs the said words within the audio files. Recommended model (english language): facebook/wav2vec2-large-960h-lv60-self

Parameters

Name	Type
`args`	`AutomaticSpeechRecognitionArgs`
`options?`	`Options`

Returns

Promise\<AutomaticSpeechRecognitionOutput>

Defined in

inference/src/tasks/audio/automaticSpeechRecognition.ts:13

chatCompletion

▸ chatCompletion(args, options?): Promise\<ChatCompletionOutput>

Use the chat completion endpoint to generate a response to a prompt, using OpenAI message completion API no stream

Parameters

Name	Type
`args`	`BaseArgs` & `ChatCompletionInput`
`options?`	`Options`

Returns

Promise\<ChatCompletionOutput>

Defined in

inference/src/tasks/nlp/chatCompletion.ts:12

chatCompletionStream

▸ chatCompletionStream(args, options?): AsyncGenerator\<ChatCompletionStreamOutput>

Use to continue text from a prompt. Same as textGeneration but returns generator that can be read one token at a time

Parameters

Name	Type
`args`	`BaseArgs` & `ChatCompletionInput`
`options?`	`Options`

Returns

AsyncGenerator\<ChatCompletionStreamOutput>

Defined in

inference/src/tasks/nlp/chatCompletionStream.ts:10

documentQuestionAnswering

▸ documentQuestionAnswering(args, options?): Promise\<DocumentQuestionAnsweringOutput[number]>

Answers a question on a document image. Recommended model: impira/layoutlm-document-qa.

Parameters

Name	Type
`args`	`DocumentQuestionAnsweringArgs`
`options?`	`Options`

Returns

Promise\<DocumentQuestionAnsweringOutput[number]>

Defined in

inference/src/tasks/multimodal/documentQuestionAnswering.ts:19

featureExtraction

▸ featureExtraction(args, options?): Promise\<FeatureExtractionOutput>

This task reads some text and outputs raw float values, that are usually consumed as part of a semantic database/semantic search.

Parameters

Name	Type
`args`	`FeatureExtractionArgs`
`options?`	`Options`

Returns

Promise\<FeatureExtractionOutput>

Defined in

inference/src/tasks/nlp/featureExtraction.ts:22

fillMask

▸ fillMask(args, options?): Promise\<FillMaskOutput>

Tries to fill in a hole with a missing word (token to be precise). That’s the base task for BERT models.

Parameters

Name	Type
`args`	`FillMaskArgs`
`options?`	`Options`

Returns

Promise\<FillMaskOutput>

Defined in

inference/src/tasks/nlp/fillMask.ts:12

getProviderHelper

▸ getProviderHelper(provider, task): TextToImageTaskHelper & TaskProviderHelper

Get provider helper instance by name and task

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"text-to-image"`

Returns

TextToImageTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:191

▸ getProviderHelper(provider, task): ConversationalTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"conversational"`

Returns

ConversationalTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:195

▸ getProviderHelper(provider, task): TextGenerationTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"text-generation"`

Returns

TextGenerationTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:199

▸ getProviderHelper(provider, task): TextToSpeechTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"text-to-speech"`

Returns

TextToSpeechTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:203

▸ getProviderHelper(provider, task): TextToAudioTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"text-to-audio"`

Returns

TextToAudioTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:207

▸ getProviderHelper(provider, task): AutomaticSpeechRecognitionTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"automatic-speech-recognition"`

Returns

AutomaticSpeechRecognitionTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:211

▸ getProviderHelper(provider, task): TextToVideoTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"text-to-video"`

Returns

TextToVideoTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:215

▸ getProviderHelper(provider, task): TextClassificationTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"text-classification"`

Returns

TextClassificationTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:219

▸ getProviderHelper(provider, task): QuestionAnsweringTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"question-answering"`

Returns

QuestionAnsweringTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:223

▸ getProviderHelper(provider, task): AudioClassificationTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"audio-classification"`

Returns

AudioClassificationTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:227

▸ getProviderHelper(provider, task): AudioToAudioTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"audio-to-audio"`

Returns

AudioToAudioTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:231

▸ getProviderHelper(provider, task): FillMaskTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"fill-mask"`

Returns

FillMaskTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:235

▸ getProviderHelper(provider, task): FeatureExtractionTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"feature-extraction"`

Returns

FeatureExtractionTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:239

▸ getProviderHelper(provider, task): ImageClassificationTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"image-classification"`

Returns

ImageClassificationTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:243

▸ getProviderHelper(provider, task): ImageSegmentationTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"image-segmentation"`

Returns

ImageSegmentationTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:247

▸ getProviderHelper(provider, task): DocumentQuestionAnsweringTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"document-question-answering"`

Returns

DocumentQuestionAnsweringTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:251

▸ getProviderHelper(provider, task): ImageToTextTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"image-to-text"`

Returns

ImageToTextTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:255

▸ getProviderHelper(provider, task): ObjectDetectionTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"object-detection"`

Returns

ObjectDetectionTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:259

▸ getProviderHelper(provider, task): ZeroShotImageClassificationTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"zero-shot-image-classification"`

Returns

ZeroShotImageClassificationTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:263

▸ getProviderHelper(provider, task): ZeroShotClassificationTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"zero-shot-classification"`

Returns

ZeroShotClassificationTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:267

▸ getProviderHelper(provider, task): ImageToImageTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"image-to-image"`

Returns

ImageToImageTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:271

▸ getProviderHelper(provider, task): ImageToVideoTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"image-to-video"`

Returns

ImageToVideoTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:275

▸ getProviderHelper(provider, task): SentenceSimilarityTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"sentence-similarity"`

Returns

SentenceSimilarityTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:279

▸ getProviderHelper(provider, task): TableQuestionAnsweringTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"table-question-answering"`

Returns

TableQuestionAnsweringTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:283

▸ getProviderHelper(provider, task): TabularClassificationTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"tabular-classification"`

Returns

TabularClassificationTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:287

▸ getProviderHelper(provider, task): TabularRegressionTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"tabular-regression"`

Returns

TabularRegressionTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:291

▸ getProviderHelper(provider, task): TokenClassificationTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"token-classification"`

Returns

TokenClassificationTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:295

▸ getProviderHelper(provider, task): TranslationTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"translation"`

Returns

TranslationTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:299

▸ getProviderHelper(provider, task): SummarizationTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"summarization"`

Returns

SummarizationTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:303

▸ getProviderHelper(provider, task): VisualQuestionAnsweringTaskHelper & TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`"visual-question-answering"`

Returns

VisualQuestionAnsweringTaskHelper & TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:307

▸ getProviderHelper(provider, task): TaskProviderHelper

Parameters

Name	Type
`provider`	`"baseten"` \| `"black-forest-labs"` \| `"cerebras"` \| `"clarifai"` \| `"cohere"` \| `"fal-ai"` \| `"featherless-ai"` \| `"fireworks-ai"` \| `"groq"` \| `"hf-inference"` \| `"hyperbolic"` \| `"nebius"` \| `"novita"` \| `"nscale"` \| `"openai"` \| `"ovhcloud"` \| `"publicai"` \| `"replicate"` \| `"sambanova"` \| `"scaleway"` \| `"together"` \| `"wavespeed"` \| `"zai-org"` \| `"auto"`
`task`	`undefined` \| `InferenceTask`

Returns

TaskProviderHelper

Defined in

inference/src/lib/getProviderHelper.ts:311

imageClassification

▸ imageClassification(args, options?): Promise\<ImageClassificationOutput>

This task reads some image input and outputs the likelihood of classes. Recommended model: google/vit-base-patch16-224

Parameters

Name	Type
`args`	`ImageClassificationArgs`
`options?`	`Options`

Returns

Promise\<ImageClassificationOutput>

Defined in

inference/src/tasks/cv/imageClassification.ts:14

imageSegmentation

▸ imageSegmentation(args, options?): Promise\<ImageSegmentationOutput>

This task reads some image input and outputs the likelihood of classes & bounding boxes of detected objects. Recommended model: facebook/detr-resnet-50-panoptic

Parameters

Name	Type
`args`	`ImageSegmentationArgs`
`options?`	`Options`

Returns

Promise\<ImageSegmentationOutput>

Defined in

inference/src/tasks/cv/imageSegmentation.ts:14

imageToImage

▸ imageToImage(args, options?): Promise\<Blob>

This task reads some text input and outputs an image. Recommended model: lllyasviel/sd-controlnet-depth

Parameters

Name	Type
`args`	`ImageToImageArgs`
`options?`	`Options`

Returns

Promise\<Blob>

Defined in

inference/src/tasks/cv/imageToImage.ts:14

imageToText

▸ imageToText(args, options?): Promise\<ImageToTextOutput>

This task reads some image input and outputs the text caption.

Parameters

Name	Type
`args`	`ImageToTextArgs`
`options?`	`Options`

Returns

Promise\<ImageToTextOutput>

Defined in

inference/src/tasks/cv/imageToText.ts:13

imageToVideo

▸ imageToVideo(args, options?): Promise\<Blob>

This task reads some text input and outputs an image. Recommended model: Wan-AI/Wan2.1-I2V-14B-720P

Parameters

Name	Type
`args`	`ImageToVideoArgs`
`options?`	`Options`

Returns

Promise\<Blob>

Defined in

inference/src/tasks/cv/imageToVideo.ts:14

makeRequestOptions

▸ makeRequestOptions(args, providerHelper, options?): Promise\<{ info: RequestInit ; url: string }>

Helper that prepares request arguments. This async version handle the model ID resolution step.

Parameters

Name	Type
`args`	`RequestArgs` & { `data?`: `Blob` \| `ArrayBuffer` ; `stream?`: `boolean` }
`providerHelper`	`TaskProviderHelper`
`options?`	`Options` & { `task?`: `InferenceTask` }

Returns

Promise\<{ info: RequestInit ; url: string }>

Defined in

inference/src/lib/makeRequestOptions.ts:19

makeRequestOptionsFromResolvedModel

▸ makeRequestOptionsFromResolvedModel(resolvedModel, providerHelper, args, mapping, options?): Object

Helper that prepares request arguments. - for internal use only This sync version skips the model ID resolution step

Parameters

Name	Type
`resolvedModel`	`string`
`providerHelper`	`TaskProviderHelper`
`args`	`RequestArgs` & { `data?`: `Blob` \| `ArrayBuffer` ; `stream?`: `boolean` }
`mapping`	`undefined` \| `InferenceProviderMappingEntry`
`options?`	`Options` & { `task?`: `InferenceTask` }

Returns

Object

Name	Type
`info`	`RequestInit`
`url`	`string`

Defined in

inference/src/lib/makeRequestOptions.ts:105

objectDetection

▸ objectDetection(args, options?): Promise\<ObjectDetectionOutput>

This task reads some image input and outputs the likelihood of classes & bounding boxes of detected objects. Recommended model: facebook/detr-resnet-50

Parameters

Name	Type
`args`	`ObjectDetectionArgs`
`options?`	`Options`

Returns

Promise\<ObjectDetectionOutput>

Defined in

inference/src/tasks/cv/objectDetection.ts:14

questionAnswering

▸ questionAnswering(args, options?): Promise\<QuestionAnsweringOutput[number]>

Want to have a nice know-it-all bot that can answer any question?. Recommended model: deepset/roberta-base-squad2

Parameters

Name	Type
`args`	`QuestionAnsweringArgs`
`options?`	`Options`

Returns

Promise\<QuestionAnsweringOutput[number]>

Defined in

inference/src/tasks/nlp/questionAnswering.ts:13

request

▸ request\<T>(args, options?): Promise\<T>

Primitive to make custom calls to the inference provider

Type parameters

Name
`T`

Parameters

Name	Type
`args`	`RequestArgs`
`options?`	`Options` & { `task?`: `InferenceTask` }

Returns

Promise\<T>

Deprecated

Use specific task functions instead. This function will be removed in a future version.

Defined in

inference/src/tasks/custom/request.ts:11

sentenceSimilarity

▸ sentenceSimilarity(args, options?): Promise\<SentenceSimilarityOutput>

Calculate the semantic similarity between one text and a list of other sentences by comparing their embeddings.

Parameters

Name	Type
`args`	`SentenceSimilarityArgs`
`options?`	`Options`

Returns

Promise\<SentenceSimilarityOutput>

Defined in

inference/src/tasks/nlp/sentenceSimilarity.ts:12

setLogger

▸ setLogger(logger): void

Parameters

Name	Type
`logger`	`Logger`

Returns

void

Defined in

inference/src/lib/logger.ts:5

streamingRequest

▸ streamingRequest\<T>(args, options?): AsyncGenerator\<T>

Primitive to make custom inference calls that expect server-sent events, and returns the response through a generator

Type parameters

Name
`T`

Parameters

Name	Type
`args`	`RequestArgs`
`options?`	`Options` & { `task?`: `InferenceTask` }

Returns

AsyncGenerator\<T>

Deprecated

Use specific task functions instead. This function will be removed in a future version.

Defined in

inference/src/tasks/custom/streamingRequest.ts:11

summarization

▸ summarization(args, options?): Promise\<SummarizationOutput>

This task is well known to summarize longer text into shorter text. Be careful, some models have a maximum length of input. That means that the summary cannot handle full books for instance. Be careful when choosing your model.

Parameters

Name	Type
`args`	`SummarizationArgs`
`options?`	`Options`

Returns

Promise\<SummarizationOutput>

Defined in

inference/src/tasks/nlp/summarization.ts:12

tableQuestionAnswering

▸ tableQuestionAnswering(args, options?): Promise\<TableQuestionAnsweringOutput[number]>

Don’t know SQL? Don’t want to dive into a large spreadsheet? Ask questions in plain english! Recommended model: google/tapas-base-finetuned-wtq.

Parameters

Name	Type
`args`	`TableQuestionAnsweringArgs`
`options?`	`Options`

Returns

Promise\<TableQuestionAnsweringOutput[number]>

Defined in

inference/src/tasks/nlp/tableQuestionAnswering.ts:12

tabularClassification

▸ tabularClassification(args, options?): Promise\<TabularClassificationOutput>

Predicts target label for a given set of features in tabular form. Typically, you will want to train a classification model on your training data and use it with your new data of the same format. Example model: vvmnnnkv/wine-quality

Parameters

Name	Type
`args`	`TabularClassificationArgs`
`options?`	`Options`

Returns

Promise\<TabularClassificationOutput>

Defined in

inference/src/tasks/tabular/tabularClassification.ts:25

tabularRegression

▸ tabularRegression(args, options?): Promise\<TabularRegressionOutput>

Predicts target value for a given set of features in tabular form. Typically, you will want to train a regression model on your training data and use it with your new data of the same format. Example model: scikit-learn/Fish-Weight

Parameters

Name	Type
`args`	`TabularRegressionArgs`
`options?`	`Options`

Returns

Promise\<TabularRegressionOutput>

Defined in

inference/src/tasks/tabular/tabularRegression.ts:25

textClassification

▸ textClassification(args, options?): Promise\<TextClassificationOutput>

Usually used for sentiment-analysis this will output the likelihood of classes of an input. Recommended model: distilbert-base-uncased-finetuned-sst-2-english

Parameters

Name	Type
`args`	`TextClassificationArgs`
`options?`	`Options`

Returns

Promise\<TextClassificationOutput>

Defined in

inference/src/tasks/nlp/textClassification.ts:12

textGeneration

▸ textGeneration(args, options?): Promise\<TextGenerationOutput>

Use to continue text from a prompt. This is a very generic task. Recommended model: gpt2 (it’s a simple model, but fun to play with).

Parameters

Name	Type
`args`	`BaseArgs` & `TextGenerationInput`
`options?`	`Options`

Returns

Promise\<TextGenerationOutput>

Defined in

inference/src/tasks/nlp/textGeneration.ts:13

textGenerationStream

▸ textGenerationStream(args, options?): AsyncGenerator\<TextGenerationStreamOutput>

Use to continue text from a prompt. Same as textGeneration but returns generator that can be read one token at a time

Parameters

Name	Type
`args`	`BaseArgs` & `TextGenerationInput`
`options?`	`Options`

Returns

AsyncGenerator\<TextGenerationStreamOutput>

Defined in

inference/src/tasks/nlp/textGenerationStream.ts:90

textToImage

▸ textToImage(args, options?): Promise\<string>

This task reads some text input and outputs an image. Recommended model: stabilityai/stable-diffusion-2

Parameters

Name	Type
`args`	`TextToImageArgs`
`options?`	`TextToImageOptions` & { `outputType`: `"url"` }

Returns

Promise\<string>

Defined in

inference/src/tasks/cv/textToImage.ts:18

▸ textToImage(args, options?): Promise\<Blob>

Parameters

Name	Type
`args`	`TextToImageArgs`
`options?`	`TextToImageOptions` & { `outputType?`: `"blob"` }

Returns

Promise\<Blob>

Defined in

inference/src/tasks/cv/textToImage.ts:22

▸ textToImage(args, options?): Promise\<Record\<string, unknown>>

Parameters

Name	Type
`args`	`TextToImageArgs`
`options?`	`TextToImageOptions` & { `outputType?`: `"json"` }

Returns

Promise\<Record\<string, unknown>>

Defined in

inference/src/tasks/cv/textToImage.ts:26

textToSpeech

▸ textToSpeech(args, options?): Promise\<Blob>

This task synthesize an audio of a voice pronouncing a given text. Recommended model: espnet/kan-bayashi_ljspeech_vits

Parameters

Name	Type
`args`	`TextToSpeechArgs`
`options?`	`Options`

Returns

Promise\<Blob>

Defined in

inference/src/tasks/audio/textToSpeech.ts:15

textToVideo

▸ textToVideo(args, options?): Promise\<TextToVideoOutput>

Parameters

Name	Type
`args`	`TextToVideoArgs`
`options?`	`Options`

Returns

Promise\<TextToVideoOutput>

Defined in

inference/src/tasks/cv/textToVideo.ts:15

tokenClassification

▸ tokenClassification(args, options?): Promise\<TokenClassificationOutput>

Usually used for sentence parsing, either grammatical, or Named Entity Recognition (NER) to understand keywords contained within text. Recommended model: dbmdz/bert-large-cased-finetuned-conll03-english

Parameters

Name	Type
`args`	`TokenClassificationArgs`
`options?`	`Options`

Returns

Promise\<TokenClassificationOutput>

Defined in

inference/src/tasks/nlp/tokenClassification.ts:12

translation

▸ translation(args, options?): Promise\<TranslationOutput>

This task is well known to translate text from one language to another. Recommended model: Helsinki-NLP/opus-mt-ru-en.

Parameters

Name	Type
`args`	`TranslationArgs`
`options?`	`Options`

Returns

Promise\<TranslationOutput>

Defined in

inference/src/tasks/nlp/translation.ts:11

visualQuestionAnswering

▸ visualQuestionAnswering(args, options?): Promise\<VisualQuestionAnsweringOutput[number]>

Answers a question on an image. Recommended model: dandelin/vilt-b32-finetuned-vqa.

Parameters

Name	Type
`args`	`VisualQuestionAnsweringArgs`
`options?`	`Options`

Returns

Promise\<VisualQuestionAnsweringOutput[number]>

Defined in

inference/src/tasks/multimodal/visualQuestionAnswering.ts:19

zeroShotClassification

▸ zeroShotClassification(args, options?): Promise\<ZeroShotClassificationOutput>

This task is super useful to try out classification with zero code, you simply pass a sentence/paragraph and the possible labels for that sentence, and you get a result. Recommended model: facebook/bart-large-mnli.

Parameters

Name	Type
`args`	`ZeroShotClassificationArgs`
`options?`	`Options`

Returns

Promise\<ZeroShotClassificationOutput>

Defined in

inference/src/tasks/nlp/zeroShotClassification.ts:12

zeroShotImageClassification

▸ zeroShotImageClassification(args, options?): Promise\<ZeroShotImageClassificationOutput>

Classify an image to specified classes. Recommended model: openai/clip-vit-large-patch14-336

Parameters

Name	Type
`args`	`ZeroShotImageClassificationArgs`
`options?`	`Options`

Returns

Promise\<ZeroShotImageClassificationOutput>

Defined in

inference/src/tasks/cv/zeroShotImageClassification.ts:44

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