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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6356bf816f138bc3728be3533f7eacd01591d62458e75502b5f667500f3aaed8
- Size of remote file:
- 4.08 kB
- SHA256:
- 13f118af5d3b076d4d23a13d701e001dad37ccadb84e923cbc3347e1ab8e4dfa
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