Instructions to use ZMaxwell-Smith/OIL_YT_ind_nlp_all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZMaxwell-Smith/OIL_YT_ind_nlp_all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ZMaxwell-Smith/OIL_YT_ind_nlp_all")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ZMaxwell-Smith/OIL_YT_ind_nlp_all") model = AutoModelForCTC.from_pretrained("ZMaxwell-Smith/OIL_YT_ind_nlp_all") - Notebooks
- Google Colab
- Kaggle
Model page for OIL_YT_ind_nlp_all
For further details please see Zara Maxwell-Smith and Ben Foley, (forthcoming), Automated speech recognition of Indonesian-English language lessons on YouTube using transfer learning, Field Matters Workshop, EACL 2023
How to cite this model.
Please use the following .bib to reference this work.
{@inproceedings{Maxwell-Smith_Foley_2023_Automated,
title={{Automated speech recognition of Indonesian-English language lessons on YouTube using transfer learning}},
author={Maxwell-Smith, Zara and Foley, Ben},
booktitle={Proceedings of the {Second Workshop on NLP Applications to Field Linguistics (EACL)}},
pages={},
year={forthcoming}
}
- Downloads last month
- 6