Instructions to use TechInterMezzo/whisper-encoder-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TechInterMezzo/whisper-encoder-medium with Transformers:
# Load model directly from transformers import AutoProcessor, WhisperEncoder processor = AutoProcessor.from_pretrained("TechInterMezzo/whisper-encoder-medium") model = WhisperEncoder.from_pretrained("TechInterMezzo/whisper-encoder-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5b6d36546d006b3f78d34c43cd21ec4503a47ee4fcccc7e40356cadf8012500
- Size of remote file:
- 614 MB
- SHA256:
- 94944c325e26da86762705419598aeb869f3843005263e4dec61aacf80637f12
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