Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Divehi
whisper
Generated from Trainer
Instructions to use nasim01/whisper-small-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nasim01/whisper-small-dv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nasim01/whisper-small-dv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nasim01/whisper-small-dv") model = AutoModelForSpeechSeq2Seq.from_pretrained("nasim01/whisper-small-dv") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b19568baf0331c4f25b05dcd83cb3a5417bf5ca46d885ff6289322185cbb5707
- Size of remote file:
- 5.43 kB
- SHA256:
- 0aad71534531998090797deaf1e9b77e4b9e0c15625be602846b08e06d507f14
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