Instructions to use tuanio/whisper-encoder.tiny.en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tuanio/whisper-encoder.tiny.en with Transformers:
# Load model directly from transformers import AutoProcessor, WhisperEncoder processor = AutoProcessor.from_pretrained("tuanio/whisper-encoder.tiny.en") model = WhisperEncoder.from_pretrained("tuanio/whisper-encoder.tiny.en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31a75504d08ab8e3a5f3b1593d9b5ee1d6016f91a0b130ffc397e136d1e3c60a
- Size of remote file:
- 32.9 MB
- SHA256:
- ec808ec65c5579a11a608f705ed730a2014d8f5229b7f7006db6b7fc92df6232
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