Instructions to use Zen3515/distill-whisper-th-medium-ct2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zen3515/distill-whisper-th-medium-ct2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Zen3515/distill-whisper-th-medium-ct2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Zen3515/distill-whisper-th-medium-ct2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Important note
This model is the faster-whsiper compatible obtained from the conversion of biodatlab/distill-whisper-th-medium
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Model tree for Zen3515/distill-whisper-th-medium-ct2
Base model
biodatlab/distill-whisper-th-mediumEvaluation results
- Wer on mozilla-foundation/common_voice_13_0 thtest set self-reported7.580