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:
- 0184e060689c5dc2c38faec4d91e1d55817aeae616727f9f571390179a59316e
- Size of remote file:
- 14.4 kB
- SHA256:
- 2160cfd7297a35bf4672105e08550ddcc4c99cb8ac1e451a0093581d097a64b5
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