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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:aa20517bbd3f8df92836092ea2e5116bd41c941e7cea92baa1d32ba2da23cfb2
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size 3055540208
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