Instructions to use Lutech-AI/I-SPIn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lutech-AI/I-SPIn with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import ISPIn model = ISPIn.from_pretrained("Lutech-AI/I-SPIn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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| [MNLI-Mismatched](https://cims.nyu.edu/~sbowman/multinli/) (IT) translated w/[NLLB-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) | Accuracy | 73%
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NOTE: in [RTE3-ITA](https://github.com/gilnoh/RTEFormatWork/tree/master/RTE3-ITdata-original-format) and [RTE-2009-ITA](https://live.european-language-grid.eu/catalogue/corpus/8121/download/), there is no 'neutral' class.
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Hence,
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| [MNLI-Mismatched](https://cims.nyu.edu/~sbowman/multinli/) (IT) translated w/[NLLB-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) | Accuracy | 73%
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NOTE: in [RTE3-ITA](https://github.com/gilnoh/RTEFormatWork/tree/master/RTE3-ITdata-original-format) and [RTE-2009-ITA](https://live.european-language-grid.eu/catalogue/corpus/8121/download/), there is no 'neutral' class.
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Hence, in those cases, during testing, as the model classified a sentence pair as 'neutral', it was manually relabeled as 'contradiction'.
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