Instructions to use ctranslate2-4you/whisper-medium-ct2-float16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ctranslate2-4you/whisper-medium-ct2-float16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ctranslate2-4you/whisper-medium-ct2-float16")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ctranslate2-4you/whisper-medium-ct2-float16", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b67848cc1a9549bcde3b2fd6a8e857c1a6a284b9e4e94937588a9783ecd5ff6b
- Size of remote file:
- 1.53 GB
- SHA256:
- ddb3f3149bc5c9682af4cf9cf22e215a8bf047ca7772190ad2a58129bfeeca2d
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