This is the first open-source fine-tuned model for machine translation from Italian to Sardinian, developed by Simone Pinna.
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Model Details
Model Description
The first fine-tuned machine translation model capable of translating from Italian to the Sardinian language, based on the mT5-small architecture.
It was trained on a specially developed Sardinian–Italian parallel corpus, with the aim of promoting research and use of the Sardinian language in NLP contexts.
- Developed by: Simone Pinna
- License: cc-by-nc-4.0
- Finetuned from model [optional]: google/mt5-small
Model Sources [optional]
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Uses
You can use this model directly via Hugging Face transformers pipeline.
It translates sentences from Italian to Sardinian.
Here’s a minimal example to perform translation:
1from transformers import pipeline
2
3
4model_id = "Zenomis/mt5-italian-sardinian"
5
6translator = pipeline(
7 task="translation",
8 model=model_id,
9 tokenizer=model_id,
10 framework="pt"
11)
12
13italian_text = "L'autonomia è un principio fondamentale della democrazia."
14
15# Translation
16result = translator(sardu_text, max_length=200)
17print("Output (Sardo):", result[0]["translation_text"])
Direct Use
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Bias, Risks, and Limitations
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Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
Use the code below to get started with the model.
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Training Details
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Training Procedure
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Evaluation
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Summary
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Environmental Impact
Carbon emissions can be estimated using the
Machine Learning Impact calculator presented in
Lacoste et al. (2019).
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