Instructions to use bengaliAI/tugstugi_bengaliai-regional-asr_whisper-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bengaliAI/tugstugi_bengaliai-regional-asr_whisper-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bengaliAI/tugstugi_bengaliai-regional-asr_whisper-medium")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bengaliAI/tugstugi_bengaliai-regional-asr_whisper-medium") model = AutoModelForSpeechSeq2Seq.from_pretrained("bengaliAI/tugstugi_bengaliai-regional-asr_whisper-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
This Whisper ASR model was trained on regional bengali speech data with 10 dialects.
Dataset available at https://www.kaggle.com/competitions/ben10
Inference Space hosted at https://huggingface.co/spaces/bengaliAI/regional_bengali-asr_tugstugi_whisper-medium
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