Instructions to use efficient-nlp/teochew-whisper-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use efficient-nlp/teochew-whisper-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="efficient-nlp/teochew-whisper-medium")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("efficient-nlp/teochew-whisper-medium") model = AutoModelForSpeechSeq2Seq.from_pretrained("efficient-nlp/teochew-whisper-medium") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e074d3b9db79ef55c6fbbd264ad6cd13961d2c7b6e3d9aacb60c9b3009eb1359
- Size of remote file:
- 3.06 GB
- SHA256:
- 33cbc4d615eb69f50cf36a9dcb34a9a2e5f8533eb1bd027f47d5d070cd45e2bb
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