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en-esPR
Sephdude/en-esPR
en-esPR is a machine learning model from Sephdude. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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At a glance
- Model type
- marian
- Access
- Public
- Created
- Sep 17, 2025
- Updated
- Sep 16, 2026
- SHA
- 753c4e77
Model card
From the Hugging Face model README
en-esPR:
references: - "Tiedemann, J., & Thottingal, S. (2020). OPUS-MT — Building open translation services for the World: https://arxiv.org/abs/2006.01669. Proceedings of the 22nd Annual Conference of the European Association for Machine Translation (EAMT), 479–480." - "Ortiz Suárez, P. J., Sagot, B., & Romary, L. (2019). Asynchronous Pipeline for Processing Huge Corpora on Medium to Low Resource Infrastructures: https://aclanthology.org/W19-610"
license: "cc-by-nc-sa-4.0"
model_card: description: "Fine-tuned version of https://huggingface.co/Helsinki-NLP/opus-mt-es-en for English to Puerto Rican stylized Spanish."
model_details: model_description: "Fine-tuned translate model using data sourced from the mOSCAR corpus with automatically generated english companian translations." developed_by: "Sephdude" model_type: "translation" finetuned_from_model: "Helsinki-NLP/opus-mt-es-en"
model_sources: repository: "https://github.com/Sephdude/refined-translate/tree/main" paper: "More Information Needed" demo: "https://sephdude.github.io/refined-translate"
bias_risks_limitations: "The data for fine-tuning was gathered from the mOSCAR corpus for general Spanish text using key word filtering. This means that some of the dialectical filtering may be innaccurate."
how_to_get_started: "Visit https://huggingface.co/spaces/Sephdude/refined-translate to try the model out."
training_data: "https://huggingface.co/datasets/Sephdude/esPR_en"
- Type
- marian
- Created
- Sep 17, 2025
- Updated
- Sep 16, 2026