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:
- 6789e2aeb094f94e9674cd0b4803e02dc56a0b19fdf77a0f02cc61cad2e2c90f
- Size of remote file:
- 378 MB
- SHA256:
- c503580bdd00c8442c6ed833f28c0e7ba9e23125c70e0fef13d5bd1cca080f4d
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