Instructions to use grammatek/icewhisper-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use grammatek/icewhisper-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="grammatek/icewhisper-large")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("grammatek/icewhisper-large") model = AutoModelForSpeechSeq2Seq.from_pretrained("grammatek/icewhisper-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5a7ca22b10f82a2ea602f52972382f0af22e6227772ec05528b39c4b075efb8
- Size of remote file:
- 6.17 GB
- SHA256:
- 6a58e72aa99abfc28a54a5a3250ed07e978d5f3740a27d66f09024604891613a
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