Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Kazakh
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use Drahokma/whisper-large-v3-kz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Drahokma/whisper-large-v3-kz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Drahokma/whisper-large-v3-kz")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Drahokma/whisper-large-v3-kz") model = AutoModelForSpeechSeq2Seq.from_pretrained("Drahokma/whisper-large-v3-kz", device_map="auto") - Notebooks
- Google Colab
- Kaggle
What about testig with anohter Datasets or Model?
2
#1 opened about 2 years ago
by
DiDustin