Automatic Speech Recognition
Transformers
Safetensors
Bengali
whisper
bengali
bangla
speech-recognition
punctuation-restoration
Instructions to use SayedShaun/bengali-whisper-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SayedShaun/bengali-whisper-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SayedShaun/bengali-whisper-medium")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SayedShaun/bengali-whisper-medium") model = AutoModelForSpeechSeq2Seq.from_pretrained("SayedShaun/bengali-whisper-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from SayedShaun/bengali-whisper-medium: direct link, hf CLI and curl.
- Browser
- Download file 1.76 MB
-
https://huggingface.co/SayedShaun/bengali-whisper-medium/resolve/main/tokenizer.json
- Command line
-
hf download hf://SayedShaun/bengali-whisper-medium/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/SayedShaun/bengali-whisper-medium/resolve/main/tokenizer.json
1.76 MB
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