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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16464e417a34955cfda22b3f9072a486fb8a3eeb48ae0ecdadab03d293601ddd
- Size of remote file:
- 967 MB
- SHA256:
- e6f7879bae0473c13e4d9b702aed57e8491a3948fecf9f827c2e33c9fe4d4b62
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