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
File size: 135 Bytes
a5e95b3 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8c48dc3ae9e1f0d59e20d6d3beb74afa3b0947cf45c47641c72c6083c52b67e2
size 1180663192
|