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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
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https://github.com/armaggheddon/whisper2me

whisper2me is a telegram bot written with pyTelegramBotAPI that uses OpenAI's whisper to perform speech2text so you no longer have listen to voice messages 🤫🔇

docker openia pytelegrambotapi python whisper

Last synced: 25 Jan 2025

https://github.com/jplhughes/whisper_logit_lens

This Alignment Jam Hackathon project explores whether the concept of "logit lens" applies to the encoder and decoder layers in Whisper, an end-to-end speech recognition model.

alignment-jam asr interpretability interpretability-jam logitlens whisper