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
- Xet hash:
- 55bf48971556dd4393d6da3052c557e5fec9107728a4922cd7a04b9ba286f0da
- Size of remote file:
- 3.58 kB
- SHA256:
- 6d7d372554ba8ea6218aeec2b8a0315e296c1d8621c01416e476391211ff1dc8
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