This model can be used in CTranslate2 or projects based on CTranslate2 such as
faster-whisper
.
Example
from faster_whisper import WhisperModel
model = WhisperModel("base")
segments, info = model.transcribe("audio.mp3")
for segment in segments:
print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
Conversion details
The original model was converted with the following command:
faster-whisper-base huggingface.co is an AI model on huggingface.co that provides faster-whisper-base's model effect (), which can be used instantly with this Systran faster-whisper-base model. huggingface.co supports a free trial of the faster-whisper-base model, and also provides paid use of the faster-whisper-base. Support call faster-whisper-base model through api, including Node.js, Python, http.
faster-whisper-base huggingface.co is an online trial and call api platform, which integrates faster-whisper-base's modeling effects, including api services, and provides a free online trial of faster-whisper-base, you can try faster-whisper-base online for free by clicking the link below.
Systran faster-whisper-base online free url in huggingface.co:
faster-whisper-base is an open source model from GitHub that offers a free installation service, and any user can find faster-whisper-base on GitHub to install. At the same time, huggingface.co provides the effect of faster-whisper-base install, users can directly use faster-whisper-base installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
faster-whisper-base install url in huggingface.co: