Downloads · 30 days
9
22% of all-time downloads
faster-whispe-large-zh-cv11
nephilimbin/faster-whispe-large-zh-cv11
faster-whispe-large-zh-cv11 is a machine learning model from nephilimbin. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
This repository contains the conversion of jonatasgrosman/whisper-large-zh-cv11 to the CTranslate2 model format.
All-time downloads
41
Public
Repo size
3.1 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin3.1 GB · 100%
At a glance
- Library
- transformers
- Access
- Public
- Created
- Oct 18, 2023
- Updated
- Oct 18, 2023
- SHA
- d65a7a4f
Model card
From the Hugging Face model README
whisper-large-zh-cv11 model for CTranslate2
This repository contains the conversion of jonatasgrosman/whisper-large-zh-cv11 to the CTranslate2 model format.
This model can be used in CTranslate2 or projects based on CTranslate2 such as faster-whisper.
Example
The tokenizer.json file has been uploaded to the model for the convenience of fast_whisper library directly calls the model.
from faster_whisper import WhisperModel
model = WhisperModel("nephilimbin/whisper-large-zh-cv11")
segments, info = model.transcribe("audio.mp3")
for segment in segments:
print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
Conversion details
Refer to https://github.com/guillaumekln/faster-whisper
license: apache-2.0
- Library
- transformers
- Created
- Oct 18, 2023
- Updated
- Oct 18, 2023