Instructions to use hf-internal-testing/tiny-random-unispeech-sat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-unispeech-sat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="hf-internal-testing/tiny-random-unispeech-sat")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-unispeech-sat") model = AutoModelForAudioClassification.from_pretrained("hf-internal-testing/tiny-random-unispeech-sat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#2)
Verified signature- Adding `safetensors` variant of this model (0333fd86d59c4be0a462a8c74253593cafe92386) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>8e532ae
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