whisper-tiny-en

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Automatic Speech Recognition • OpenAI

@cf/openai/whisper-tiny-en

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Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalize to many datasets and domains without the need for fine-tuning. This is the English-only version of the Whisper Tiny model which was trained on the task of speech recognition.

Model Info
Beta Yes

Parameters

Option 1

stringformat: binary

▶Option 2{}

object

text

stringThe transcription

word_count

number

▶words[]

array

vtt

string

API Schemas (Raw)

Input Open Download

Output Open Download

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description: "PLaMo-Embedding-1B is a Japanese text embedding model developed by Preferred Networks, Inc.\n\nIt can convert Japanese text input into numerical vectors and can be used for a wide range of applications, including information retrieval, text classification, and clustering." title: plamo-embedding-1b image: https://developers.cloudflare.com/og-docs.png

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