Instructions to use kullup/whisper-timestamped with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kullup/whisper-timestamped with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kullup/whisper-timestamped", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| FROM python:3.9 | |
| RUN apt-get update && \ | |
| apt-get install -y --no-install-recommends \ | |
| ffmpeg | |
| RUN python3 -m pip install --upgrade pip | |
| # Python installation | |
| WORKDIR /usr/src/app | |
| # Note: First installing the python requirements permits to save time when re-building after a source change. | |
| COPY requirements.txt /usr/src/app/requirements.txt | |
| RUN cd /usr/src/app/ && pip3 install -r requirements.txt | |
| # Copy source | |
| COPY setup.py /usr/src/app/setup.py | |
| COPY whisper_timestamped /usr/src/app/whisper_timestamped | |
| # Install | |
| RUN cd /usr/src/app/ && pip3 install ".[dev]" | |
| RUN cd /usr/src/app/ && pip3 install ".[vad_silero]" | |
| RUN cd /usr/src/app/ && pip3 install ".[vad_auditok]" | |
| RUN cd /usr/src/app/ && pip3 install ".[test]" | |
| # Cleanup | |
| RUN rm -R /usr/src/app/requirements.txt /usr/src/app/setup.py /usr/src/app/whisper_timestamped | |
| # Copy tests | |
| COPY tests /usr/src/app/tests | |
| ENTRYPOINT ["/bin/bash"] |