Automatic Speech Recognition
Transformers
ONNX
Safetensors
Central Kurdish
whisper
speech-to-text
asr
kurdish
sorani
central-kurdish
edge
on-device
Instructions to use RevgeAI/vekol-stt-ckb-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RevgeAI/vekol-stt-ckb-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="RevgeAI/vekol-stt-ckb-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("RevgeAI/vekol-stt-ckb-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("RevgeAI/vekol-stt-ckb-tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c606424b25cef23ea316c9c6d9155c881f40d4b76a39632d5d720c333972448
- Size of remote file:
- 118 MB
- SHA256:
- 760180c8722f545e0bc698fa7ad03463fbad540e5c3be455868a688f74b13e27
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