Class: InferenceClientEndpoint

For backward compatibility only, will remove soon.

Deprecated

replace with InferenceClient

Hierarchy

• InferenceClient

  ↳ InferenceClientEndpoint

Constructors

constructor

• new InferenceClientEndpoint(accessToken?, defaultOptions?): InferenceClientEndpoint

Parameters

Name	Type	Default value
accessToken	string	""
defaultOptions	Options & { endpointUrl?: string }	{}

Returns

InferenceClientEndpoint

Inherited from

InferenceClient.constructor

Defined in

inference/src/InferenceClient.ts:15

Methods

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>

Inherited from

InferenceClient.audioClassification

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[]>

Inherited from

InferenceClient.audioToAudio

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>

Inherited from

InferenceClient.automaticSpeechRecognition

Defined in

inference/src/tasks/audio/automaticSpeechRecognition.ts:18

---

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>

Inherited from

InferenceClient.chatCompletion

Defined in

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

---

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>

Inherited from

InferenceClient.chatCompletionStream

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]>

Inherited from

InferenceClient.documentQuestionAnswering

Defined in

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

---

endpoint

▸ endpoint(endpointUrl): InferenceClient

Returns a new instance of InferenceClient tied to a specified endpoint.

For backward compatibility mostly.

Parameters

Name	Type
endpointUrl	string

Returns

InferenceClient

Inherited from

InferenceClient.endpoint

Defined in

inference/src/InferenceClient.ts:46

---

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>

Inherited from

InferenceClient.featureExtraction

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>

Inherited from

InferenceClient.fillMask

Defined in

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

---

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>

Inherited from

InferenceClient.imageClassification

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>

Inherited from

InferenceClient.imageSegmentation

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>

Inherited from

InferenceClient.imageToImage

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>

Inherited from

InferenceClient.imageToText

Defined in

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

---

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>

Inherited from

InferenceClient.objectDetection

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]>

Inherited from

InferenceClient.questionAnswering

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.

Inherited from

InferenceClient.request

Defined in

inference/src/tasks/custom/request.ts:10

---

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>

Inherited from

InferenceClient.sentenceSimilarity

Defined in

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

---

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.

Inherited from

InferenceClient.streamingRequest

Defined in

inference/src/tasks/custom/streamingRequest.ts:10

---

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>

Inherited from

InferenceClient.summarization

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]>

Inherited from

InferenceClient.tableQuestionAnswering

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>

Inherited from

InferenceClient.tabularClassification

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>

Inherited from

InferenceClient.tabularRegression

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>

Inherited from

InferenceClient.textClassification

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>

Inherited from

InferenceClient.textGeneration

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>

Inherited from

InferenceClient.textGenerationStream

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>

Inherited from

InferenceClient.textToImage

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>

Inherited from

InferenceClient.textToImage

Defined in

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

---

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>

Inherited from

InferenceClient.textToSpeech

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>

Inherited from

InferenceClient.textToVideo

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>

Inherited from

InferenceClient.tokenClassification

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>

Inherited from

InferenceClient.translation

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]>

Inherited from

InferenceClient.visualQuestionAnswering

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>

Inherited from

InferenceClient.zeroShotClassification

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>

Inherited from

InferenceClient.zeroShotImageClassification

Defined in

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

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