Instructions to use devkyle/whisper-tiny-pure with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devkyle/whisper-tiny-pure with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="devkyle/whisper-tiny-pure")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("devkyle/whisper-tiny-pure") model = AutoModelForSpeechSeq2Seq.from_pretrained("devkyle/whisper-tiny-pure") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7646380252491e75085d61f59e0989d57d8b8bc59be3d65308749f249b35a5f9
- Size of remote file:
- 5.5 kB
- SHA256:
- a53e7032c9c52e48e7f4d5ed6ce236e2749f97227ecca7ddc04c019d4092513c
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