Instructions to use RaivisDejus/whisper-tiny-lv-ct2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RaivisDejus/whisper-tiny-lv-ct2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="RaivisDejus/whisper-tiny-lv-ct2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RaivisDejus/whisper-tiny-lv-ct2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Latvian Whisper tiny speech recognition model
This model has been merged to RaivisDejus/whisper-tiny-lv and will be removed in near future. Please use RaivisDejus/whisper-tiny-lv
To improve speech recognition quality, more data is needed, donate your voice on Balsu talka
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