Automatic Speech Recognition
Transformers
PyTorch
ge
whisper
sbb-asr
Generated from Trainer
Eval Results (legacy)
Instructions to use marccgrau/whisper-small-init with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marccgrau/whisper-small-init with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="marccgrau/whisper-small-init")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("marccgrau/whisper-small-init") model = AutoModelForSpeechSeq2Seq.from_pretrained("marccgrau/whisper-small-init", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload tokenizer
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update model card README.md
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End of training
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initial commit
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