Instructions to use amitkot/whisper-tiny-he with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amitkot/whisper-tiny-he with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="amitkot/whisper-tiny-he")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("amitkot/whisper-tiny-he") model = AutoModelForSpeechSeq2Seq.from_pretrained("amitkot/whisper-tiny-he", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7205631803611f842326c79dd7136b04988429e808ce65d218cd2f77c3369122
- Size of remote file:
- 5.33 kB
- SHA256:
- 39a3240c735f134e8f6024845b63ea045ba7dd6d1cc17609e6e041db4d09d874
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