Sponsored by
Vmake Labs Video Enhancer
-Vmake Labs Video Enhancer uses AI to improve video quality, restore details, reduce blur, and upscale videos to 8K.
This model can be used in CTranslate2 or projects based on CTranslate2 such as
faster-whisper
.
Example
from faster_whisper import WhisperModel
model = WhisperModel("small")
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-small huggingface.co is an AI model on huggingface.co that provides faster-whisper-small's model effect (), which can be used instantly with this Systran faster-whisper-small model. huggingface.co supports a free trial of the faster-whisper-small model, and also provides paid use of the faster-whisper-small. Support call faster-whisper-small model through api, including Node.js, Python, http.
faster-whisper-small huggingface.co is an online trial and call api platform, which integrates faster-whisper-small's modeling effects, including api services, and provides a free online trial of faster-whisper-small, you can try faster-whisper-small online for free by clicking the link below.
Systran faster-whisper-small online free url in huggingface.co:
faster-whisper-small is an open source model from GitHub that offers a free installation service, and any user can find faster-whisper-small on GitHub to install. At the same time, huggingface.co provides the effect of faster-whisper-small install, users can directly use faster-whisper-small installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
faster-whisper-small install url in huggingface.co: