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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2900da5ed3ac7bfe23881848556246502bda0f9494444c222d9178005cd912b
- Size of remote file:
- 3.64 kB
- SHA256:
- 13ecbd222f9ead22770b4f02da73505e04bfc623d993dbcabf070a1637deebe8
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