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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Note ONNX (torch-free) runtime in card
Verified signature4e4afa9 -
Add ONNX (decoder_model_merged.onnx)
Verified signatureb6330f5 -
Add ONNX (encoder_model.onnx)
Verified signatureb3560a3 -
Upload folder using huggingface_hub
Verified signature78307b5 -
initial commit
Verified signatured949dbf