Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Bengali
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use anuragshas/whisper-small-bn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anuragshas/whisper-small-bn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="anuragshas/whisper-small-bn")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("anuragshas/whisper-small-bn") model = AutoModelForSpeechSeq2Seq.from_pretrained("anuragshas/whisper-small-bn") - Notebooks
- Google Colab
- Kaggle
Whisper Small Bengali
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 bn dataset. It achieves the following results on the evaluation set:
- Loss: 0.1638
- Wer: 18.22
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Evaluation results
- Wer on mozilla-foundation/common_voice_11_0 bntest set self-reported18.220