Instructions to use marinone94/whisper-tiny-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marinone94/whisper-tiny-sv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="marinone94/whisper-tiny-sv")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("marinone94/whisper-tiny-sv") model = AutoModelForMultimodalLM.from_pretrained("marinone94/whisper-tiny-sv") - Notebooks
- Google Colab
- Kaggle
Commit ·
a96ecc1
1
Parent(s): c288fd0
update dockerfile with CACHEBUST
Browse files- Dockerfile +2 -0
Dockerfile
CHANGED
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@@ -10,6 +10,8 @@ RUN pip install --timeout=60 -r requirements.txt
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RUN apt update && apt-get install libsndfile1 -y
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RUN echo $(pip freeze) | md5sum | cut -d ' ' -f 1 >> code_version.txt
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ARG REPO_URL
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RUN git clone $REPO_URL
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RUN workdir=/$(basename $REPO_URL)
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WORKDIR $workdir
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RUN apt update && apt-get install libsndfile1 -y
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RUN echo $(pip freeze) | md5sum | cut -d ' ' -f 1 >> code_version.txt
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ARG REPO_URL
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ARG CACHEBUST
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RUN echo ${CACHEBUST}
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RUN git clone $REPO_URL
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RUN workdir=/$(basename $REPO_URL)
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WORKDIR $workdir
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