Instructions to use abdullah/whisper-large-v2-bn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdullah/whisper-large-v2-bn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="abdullah/whisper-large-v2-bn")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("abdullah/whisper-large-v2-bn") model = AutoModelForSpeechSeq2Seq.from_pretrained("abdullah/whisper-large-v2-bn") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 720cf35e2084006cae7a759b67a0fa9c7952c90af13e1545de6433adac1f47a4
- Size of remote file:
- 3.09 GB
- SHA256:
- 3d2f8afbe73b8c1156fdad9e603a397e4372abeb279e023cb3ea982ed64281b3
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