Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Bengali
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use Rakib/whisper-tiny-bn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rakib/whisper-tiny-bn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Rakib/whisper-tiny-bn")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Rakib/whisper-tiny-bn") model = AutoModelForSpeechSeq2Seq.from_pretrained("Rakib/whisper-tiny-bn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
runs/Jan18_13-56-56_mamun-desktop/events.out.tfevents.1674028663.mamun-desktop.550835.0
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