Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Welsh
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use ALM/whisper-cy-small-augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ALM/whisper-cy-small-augmented with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ALM/whisper-cy-small-augmented")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ALM/whisper-cy-small-augmented") model = AutoModelForSpeechSeq2Seq.from_pretrained("ALM/whisper-cy-small-augmented") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3b1b157b9c17593274e608e5805091c99bb054da6b3e367192a07fe4293dfa3
- Size of remote file:
- 967 MB
- SHA256:
- 93acf7d670062a713caa8038c05578143a6f5f123586507669c1c28586105fcd
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