Instructions to use adkta/nep_eng_code-mixed_translit_lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adkta/nep_eng_code-mixed_translit_lm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="adkta/nep_eng_code-mixed_translit_lm")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("adkta/nep_eng_code-mixed_translit_lm") model = AutoModelForCTC.from_pretrained("adkta/nep_eng_code-mixed_translit_lm") - Notebooks
- Google Colab
- Kaggle
File size: 298 Bytes
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"sampling_rate": 16000
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