Instructions to use Prosho/sentinel-src-25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prosho/sentinel-src-25 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="Prosho/sentinel-src-25")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Prosho/sentinel-src-25", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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<a href="https://huggingface.co/collections/Prosho/translation-difficulty-estimators-6816665c008e1d22426eb6c4"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Collection-FCD21D"></a>
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This repository contains the **SENTINEL<sub>SRC</sub>** metric model used for Difficulty Sampling at the WMT25 General Machine Translation Shared Task, and analyzed in our paper **Estimating Machine Translation Difficulty**.
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## Usage
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<a href="https://huggingface.co/collections/Prosho/translation-difficulty-estimators-6816665c008e1d22426eb6c4"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Collection-FCD21D"></a>
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This repository contains the **SENTINEL<sub>SRC</sub>** metric model used for Difficulty Sampling at the [WMT25 General Machine Translation Shared Task](https://www2.statmt.org/wmt25/translation-task.html), and analyzed in our paper **Estimating Machine Translation Difficulty**.
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## Usage
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