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:
- ef04da4970435a26702afe8d90fe63f779ff913163a78f8d9a7099e6dc0c659d
- Size of remote file:
- 14.6 kB
- SHA256:
- ac5b23761e9a1800be1964122cae69ba165873de3da307580986b0833e3ddbe8
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