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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file replicate_whisper_diarization-0.2.2.tar.gz.
File metadata
- Download URL: replicate_whisper_diarization-0.2.2.tar.gz
- Upload date:
- Size: 14.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.0.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ad8246ec8f7094228ff836301dec3a2dde96affaf7226f495dd5966269203ba4
|
|
| MD5 |
c58e54698533f95fc64755a544f4a5e4
|
|
| BLAKE2b-256 |
d416832772bcc805294854d7be68560840180843e781b8dcf5dec9e431ac1304
|
File details
Details for the file replicate_whisper_diarization-0.2.2-py3-none-any.whl.
File metadata
- Download URL: replicate_whisper_diarization-0.2.2-py3-none-any.whl
- Upload date:
- Size: 9.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.0.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
801d9f9368363d3859c8e77ffbf1158fc1919edb422ed9dbdc62f22538a72877
|
|
| MD5 |
27e083bb66270b374eebb52aaeb6346f
|
|
| BLAKE2b-256 |
28487de01432ac68d8d26a6758a7ae4ffa42e25165d1200868039cec2cf96379
|