Whisperfile is a high-performance implementation of
OpenAI's
Whisper
created by Mozilla Ocho as
part of the
llamafile
project, based on the
whisper.cpp
software written
by Georgi Gerganov, et al.
The model is packaged into executable weights, which we call
whisperfiles
.
This makes it easy to use the model on Linux, MacOS, Windows, FreeBSD,
OpenBSD, and NetBSD for AMD64 and ARM64.
Quickstart
Running the following on a desktop OS will transcribe the speech of a
wav/mp3/ogg/flac file into text. The
-pc
flag enables confidence color
coding.
whisperfile huggingface.co is an AI model on huggingface.co that provides whisperfile's model effect (), which can be used instantly with this Mozilla whisperfile model. huggingface.co supports a free trial of the whisperfile model, and also provides paid use of the whisperfile. Support call whisperfile model through api, including Node.js, Python, http.
whisperfile huggingface.co is an online trial and call api platform, which integrates whisperfile's modeling effects, including api services, and provides a free online trial of whisperfile, you can try whisperfile online for free by clicking the link below.
Mozilla whisperfile online free url in huggingface.co:
whisperfile is an open source model from GitHub that offers a free installation service, and any user can find whisperfile on GitHub to install. At the same time, huggingface.co provides the effect of whisperfile install, users can directly use whisperfile installed effect in huggingface.co for debugging and trial. It also supports api for free installation.