Instructions to use hf-internal-testing/tiny-random-UniSpeechSatModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-UniSpeechSatModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-UniSpeechSatModel")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-UniSpeechSatModel") model = AutoModelForMultimodalLM.from_pretrained("hf-internal-testing/tiny-random-UniSpeechSatModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75dada1279d279c5db1d674f398be7575e1aa0032f77f8cdfe6f94eb23dcff6a
- Size of remote file:
- 132 kB
- SHA256:
- b646333ead12025a44e11ee0e31afef4bd4a539744f341e2fad24498f3d9699c
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