Automatic Speech Recognition
Transformers
PyTorch
Armenian
whisper
whisper-event
Generated from Trainer
Instructions to use arampacha/whisper-tiny-hy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arampacha/whisper-tiny-hy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="arampacha/whisper-tiny-hy")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("arampacha/whisper-tiny-hy") model = AutoModelForSpeechSeq2Seq.from_pretrained("arampacha/whisper-tiny-hy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8401b0ced7151997dcbb383901928a784de8cf6d6c720592538f3230a7640999
- Size of remote file:
- 151 MB
- SHA256:
- e1cc0bfa93d5ecc553206fec5fa984998c220625b3e07e23786b569eea809058
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