Instructions to use Siyong/MT_RN_LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Siyong/MT_RN_LM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Siyong/MT_RN_LM")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Siyong/MT_RN_LM") model = AutoModelForCTC.from_pretrained("Siyong/MT_RN_LM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca3db516e34384f9c6df7a7698ef191ebf3728e48e0c86e9f4b87b387c0a1930
- Size of remote file:
- 3.06 kB
- SHA256:
- 3c8c02a3f8338fec75125a8600cb9e2e330d6e94e292c5e5e0113219078dd10b
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