Instructions to use pln-udelar/rouberta-base-uy22-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pln-udelar/rouberta-base-uy22-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pln-udelar/rouberta-base-uy22-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pln-udelar/rouberta-base-uy22-cased") model = AutoModelForMaskedLM.from_pretrained("pln-udelar/rouberta-base-uy22-cased") - Notebooks
- Google Colab
- Kaggle
ROUBERTa cased
This is a RoBERTa-base LM trained from scratch exclusively on Uruguayan press [1].
Cite this work
@inproceedings{rouberta2024,
title={A Language Model Trained on Uruguayan Spanish News Text},
author={Filevich, Juan Pablo and Marco, Gonzalo and Castro, Santiago and Chiruzzo, Luis and Ros{\'a}, Aiala},
booktitle={Proceedings of the Second International Workshop Towards Digital Language Equality (TDLE): Focusing on Sustainability@ LREC-COLING 2024},
pages={53--60},
year={2024}
}
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