Instructions to use junehong/whisper_tiny_copy_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junehong/whisper_tiny_copy_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="junehong/whisper_tiny_copy_test")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("junehong/whisper_tiny_copy_test") model = AutoModel.from_pretrained("junehong/whisper_tiny_copy_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9323a807d447e75249c9b42d3002a2a94aa4d6b64aea75e5acfb5c0ffab19663
- Size of remote file:
- 151 MB
- SHA256:
- 0c3f75a6c3471f6f92a27e5c8f174a5318829e39c5616f5cffe5ec71c3c7013d
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