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Whisper
Whisper is an autoregressive language model developed by OpenAI. It is trained on a large corpus of text using a transformer architecture and is capable of generating high-quality natural language text. Whisper can be used for tasks such as language modeling, text completion, and text generation. It has shown impressive performance on various benchmarks and has been released by OpenAI to encourage research in the field of language modeling. Whisper is not yet available for public use, but it has the potential to transform the field of natural language processing and generate new opportunities for language-based applications.
- GitHub: https://github.com/topics/whisper
- Repo: https://github.com/openai/whisper
- Created by: OpenAI
- Released: August 2021
- Related Topics: machine-learning, artificial-intelligence, language-modeling,
- Last updated: 2025-01-24 00:34:40 UTC
- JSON Representation
https://github.com/jalvarezz13/summarai
SummarAI utilizes PyMovie and Whisper to transcribe videos, enabling you to ask questions about the content using Llama2 and Llama-index for insightful interaction.
llama-index llama2 pymovie whisper
Last synced: 22 Dec 2024
https://github.com/soenneker/soenneker.runners.whisper.ctranslate
Automatically updates the Soenneker.Whisper.CTranslate package
ai csharp ctranslate ctranslate2 dotnet faster library runner runners whisper whisperctranslate
Last synced: 28 Dec 2024
https://github.com/sbadulin/obsidian-dictation-plugin
Obsidian dictation plugin
dictation gpt-35-turbo obsidian obsidian-plugin openai speech-to-text whisper
Last synced: 07 Dec 2024
https://github.com/yousofss/speechtotext
Speech-to-Text using OpenAI's Whisper model
audio-to-text openai openai-whisper speech-to-text transcription whisper whisper-ai
Last synced: 09 Oct 2024