Instructions to use microsoft/unispeech-sat-large-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/unispeech-sat-large-sv with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioXVector processor = AutoProcessor.from_pretrained("microsoft/unispeech-sat-large-sv") model = AutoModelForAudioXVector.from_pretrained("microsoft/unispeech-sat-large-sv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d1a2d7b349f47bb4ed71ec492e457a307e400309cbc653728d13438846f5cc6
- Size of remote file:
- 1.29 GB
- SHA256:
- 87f4fedc1b0f16caa57f41a4a4ee25c61fea738410ac5b34d39dbafba28f2c79
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