Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Norwegian
whisper
whisper-event
norwegian
Eval Results (legacy)
Instructions to use sassyphil/whispertest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sassyphil/whispertest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sassyphil/whispertest")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sassyphil/whispertest") model = AutoModelForSpeechSeq2Seq.from_pretrained("sassyphil/whispertest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 227b2d9c37a33c96da410304f40c4ec065a57b11c9c452d36bbb16bf1f67bf88
- Size of remote file:
- 3.09 GB
- SHA256:
- ed76ad29473dd44395875a47a2e0cb55c8b769e52e54c5d773b4766f55b20f39
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