Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Welsh
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use pplantinga/whisper-small-cy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pplantinga/whisper-small-cy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pplantinga/whisper-small-cy")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("pplantinga/whisper-small-cy") model = AutoModelForSpeechSeq2Seq.from_pretrained("pplantinga/whisper-small-cy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00b6819da9f0b880872af78ee58fc2faca07313c66885bb36554f868b13e7c4a
- Size of remote file:
- 967 MB
- SHA256:
- c966025a7b9a2e7c3703509c55ac25dbf6144d17c393f0c7de9d3435d3531b41
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