Transcribe and diarize audio files using Replicate models
Project description
whisper_diarization
A short description of the project.
Development
Jupyterlab container
There is jupyterlab container images to run the notebooks
Build
make jupyter-build
Run
with gpu capabilities:
make jupyter-run
or cpu only
make jupyter-run-cpu
Project Organization
.
├── build -> Docker building files & utils
│ ├── core
│ └── jupyter
├── notebooks -> Notebooks with experimentes and examples
│ └── ...
├── reports -> Reports generated by results from experiments
│ └── ...
├── resources -> general resources: models, datasets, cache, etc
│ ├── cache
│ ├── models
│ ├── datasets
│ └── ...
├── scripts -> utils
└── src -> main root of packages
└── whisper_diarization -> main package
Project based on the cookiecutter data science collective template. #cookiecutterdatasciencecollective
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for replicate_whisper_diarization-0.1.8.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | b885cdf4078e07979892eb28f311c3cd9a399987aff06d2e94305b31a90f400f |
|
MD5 | f9c5fff6b66b8eba4e3603592030b7f5 |
|
BLAKE2b-256 | 535a9379a19e15d39aff8ac72debfba963a73482cb1928deceb7cd1646ce4d35 |
Close
Hashes for replicate_whisper_diarization-0.1.8-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 848cd238cd9fae82c7fb78e7dc0638a5d4a66537ae43f1ae4518d9cbadaf3eca |
|
MD5 | dce33a4883aacd4e7971fc7812eb5eb4 |
|
BLAKE2b-256 | f892e9ba440a15fd27366dfbdc5163c6a8a93b67d7c31e0c4b522bf42882663a |