Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Kazakh
whisper
Kazakh
KZ
Kazakhstani
KazakhLanguage
WhisperKZ
KazakhFine-Tune
KazakhSTT
STTKZ
KZSTT
Instructions to use Flamme-VRM/KazSTT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Flamme-VRM/KazSTT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Flamme-VRM/KazSTT")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Flamme-VRM/KazSTT") model = AutoModelForSpeechSeq2Seq.from_pretrained("Flamme-VRM/KazSTT") - Notebooks
- Google Colab
- Kaggle
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