Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
English
whisper
Generated from Trainer
Instructions to use NathanRoll/psst-medium-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NathanRoll/psst-medium-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NathanRoll/psst-medium-en")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NathanRoll/psst-medium-en") model = AutoModelForSpeechSeq2Seq.from_pretrained("NathanRoll/psst-medium-en") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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by librarian-bot - opened
README.md
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- generated_from_trainer
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datasets:
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- NathanRoll/SBC_segmented
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model-index:
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- name: PSST medium
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results: []
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- generated_from_trainer
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datasets:
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- NathanRoll/SBC_segmented
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base_model: openai/whisper-medium.en
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model-index:
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- name: PSST medium
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results: []
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