Whisper

Whisper

OpenAI
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About

​Transformers is a library of pretrained natural language processing, computer vision, audio, and multimodal models for inference and training. Use Transformers to train models on your data, build inference applications, and generate text with large language models. Explore the Hugging Face Hub today to find a model and use Transformers to help you get started right away.​ Simple and optimized inference class for many machine learning tasks like text generation, image segmentation, automatic speech recognition, document question answering, and more. A comprehensive trainer that supports features such as mixed precision, torch.compile, and FlashAttention for training and distributed training for PyTorch models.​ Fast text generation with large language models and vision language models. Every model is implemented from only three main classes (configuration, model, and preprocessor) and can be quickly used for inference or training.

About

We’ve trained and are open-sourcing a neural net called Whisper that approaches human-level robustness and accuracy in English speech recognition. Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web. We show that the use of such a large and diverse dataset leads to improved robustness to accents, background noise, and technical language. Moreover, it enables transcription in multiple languages, as well as translation from those languages into English. We are open-sourcing models and inference code to serve as a foundation for building useful applications and for further research on robust speech processing. The Whisper architecture is a simple end-to-end approach, implemented as an encoder-decoder Transformer. Input audio is split into 30-second chunks, converted into a log-Mel spectrogram, and then passed into an encoder.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Machine learning practitioners looking for a tool to train and deploy state-of-the-art models across NLP, vision, and audio tasks

Audience

Anyone looking for a tool to recognize speech automatically and improve text transcription

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$9 per month
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Hugging Face
Founded: 2016
United States
huggingface.co/docs/transformers/en/index

Company Information

OpenAI
United States
openai.com/blog/whisper/

Alternatives

Alternatives

Transcribe

Transcribe

Wreally
Gemma 2

Gemma 2

Google

Categories

Categories

Integrations

AI Sparks Studio
Azure AI Speech
Baseten
Krater.ai
Kuku
LastMile AI
LazyTyper
MacWhisper
Monster API
Nekton.ai
OpenAI
ReByte
SheepScript.ai
Shownotes
Spark NLP
Tila
Utterly Voice
VESSL AI
Vocode
Whisper Notes

Integrations

AI Sparks Studio
Azure AI Speech
Baseten
Krater.ai
Kuku
LastMile AI
LazyTyper
MacWhisper
Monster API
Nekton.ai
OpenAI
ReByte
SheepScript.ai
Shownotes
Spark NLP
Tila
Utterly Voice
VESSL AI
Vocode
Whisper Notes
Claim Hugging Face Transformers and update features and information
Claim Hugging Face Transformers and update features and information
Claim Whisper and update features and information
Claim Whisper and update features and information