Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
English
whisper
Generated from Trainer
Instructions to use NathanRoll/psst-medium-scrambled-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NathanRoll/psst-medium-scrambled-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NathanRoll/psst-medium-scrambled-en")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NathanRoll/psst-medium-scrambled-en") model = AutoModelForSpeechSeq2Seq.from_pretrained("NathanRoll/psst-medium-scrambled-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e42cb5518492d22f9cd540f28105a57368970712c5e1e265513d2fb66cec6bf9
- Size of remote file:
- 3.06 GB
- SHA256:
- 56ef835f0b3771191e5663c6031ebf98ec424e4e16205c15e24db30437f61c2e
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