Instructions to use amitkot/whisper-yoad-small-he-acft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amitkot/whisper-yoad-small-he-acft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="amitkot/whisper-yoad-small-he-acft")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("amitkot/whisper-yoad-small-he-acft") model = AutoModelForSpeechSeq2Seq.from_pretrained("amitkot/whisper-yoad-small-he-acft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f75459d9c46c089e18037ac2af42b2f52d53b11d18042aed5ab108f2666aca7a
- Size of remote file:
- 175 MB
- SHA256:
- 62d04747294429f84c3b6c8e5cd25e3257490379681c9a3fcdf1c0d38d9a0568
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