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:
- 8401c1af7ef88b73dfd3d9ca251dd92c12ed462b99cdf7b131591350b949e98f
- Size of remote file:
- 967 MB
- SHA256:
- fac9567f2c5bb0b0a0bd1c0c838cc1249178d399e38f72fa238bbbd6d8c3e543
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