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:
- 107015dcfcf2019b8a0261fa4a58c150d32a9aae7329976f70aeb6e7f63b72eb
- Size of remote file:
- 3.64 kB
- SHA256:
- 6ba77769c770580985416d59e68eb90a0b3ab7562762cae54e957d51907d8a63
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