Instructions to use bangla-speech-processing/BanglaASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bangla-speech-processing/BanglaASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bangla-speech-processing/BanglaASR")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bangla-speech-processing/BanglaASR") model = AutoModelForSpeechSeq2Seq.from_pretrained("bangla-speech-processing/BanglaASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download mp3/common_voice_bn_31515636.mp3 from bangla-speech-processing/BanglaASR: direct link, hf CLI and curl.
- Browser
- Download file 26.2 kB
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https://huggingface.co/bangla-speech-processing/BanglaASR/resolve/main/mp3/common_voice_bn_31515636.mp3
- Command line
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hf download hf://bangla-speech-processing/BanglaASR/mp3/common_voice_bn_31515636.mp3
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curl -L -o common_voice_bn_31515636.mp3 https://huggingface.co/bangla-speech-processing/BanglaASR/resolve/main/mp3/common_voice_bn_31515636.mp3
26.2 kB