Instructions to use Dmitriy/bengali with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dmitriy/bengali with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Dmitriy/bengali")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Dmitriy/bengali") model = AutoModelForSpeechSeq2Seq.from_pretrained("Dmitriy/bengali", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e86e4fae1b1c0a9fd4a8af3c9e70520612ad7f20c927708755053605ec71827
- Size of remote file:
- 4.09 kB
- SHA256:
- 0c18515d25fc4ed1b4b9b9daf33b911e131d7d0afe6593976353298a00a0c9cc
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