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
| Vekol STT (ckb) Edge | |
| Copyright (c) 2026 Darvan Shvan | |
| This repository contains code and fine-tuned model weights for Central Kurdish | |
| (Sorani) speech-to-text, released under CC-BY-NC 4.0 (see LICENSE). | |
| Attribution | |
| ----------- | |
| - Base models: OpenAI Whisper (tiny/base/small), MIT License. | |
| https://github.com/openai/whisper | |
| - Training data: | |
| - Mozilla Common Voice 25.0 (ckb), CC0. | |
| - Google FLEURS (ckb_iq), CC-BY 4.0. | |
| The fine-tuned weights in this repository are derivative works of the MIT-licensed | |
| Whisper models. The weights and the code here are distributed under CC-BY-NC 4.0. | |
| For commercial use, see the hosted service at https://vekol.krd or contact the authors. | |