Automatic Speech Recognition
Transformers
PyTorch
Safetensors
English
Bengali
whisper
feature-extraction
Instructions to use shhossain/whisper-tiny-bn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shhossain/whisper-tiny-bn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="shhossain/whisper-tiny-bn")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("shhossain/whisper-tiny-bn") model = AutoModel.from_pretrained("shhossain/whisper-tiny-bn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b677311ba7775807188912ce6108c98d84025f8ffd0398648ce27118c0631209
- Size of remote file:
- 151 MB
- SHA256:
- 76981d3f00a960608fdb44ba5ca54e0f0010dd4b9f7de191733829687dafdc77
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