Instructions to use oyvindgrutle/whisper-medium-amksim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oyvindgrutle/whisper-medium-amksim with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="oyvindgrutle/whisper-medium-amksim")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("oyvindgrutle/whisper-medium-amksim") model = AutoModelForSpeechSeq2Seq.from_pretrained("oyvindgrutle/whisper-medium-amksim") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0611ac7995dac91a5e781b9c64c49986ea4618d9b35f88738f5f125abe962195
- Size of remote file:
- 967 MB
- SHA256:
- b9a9a521b49f28a466b097191d7cbfdfb528a58cbe03813a84e1b6a97e05269f
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