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 ·
a254b8a
1
Parent(s): 90f3365
upgrade torchaudio
Browse files- requirements.txt +1 -1
requirements.txt
CHANGED
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@@ -1,5 +1,5 @@
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torch>=1.7
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-
torchaudio==0.13.
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git+https://github.com/huggingface/transformers
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git+https://github.com/huggingface/datasets
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librosa
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torch>=1.7
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+
torchaudio==0.13.1
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git+https://github.com/huggingface/transformers
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git+https://github.com/huggingface/datasets
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librosa
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