Transformers
PyTorch
I-SPIn
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  license: apache-2.0
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  ---
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  ## Lutech-AI/I-SPIn
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- **I-SPIn** stands for **I**talian-**S**entence **P**air **In**ference.<br>
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  This is a fine-tuned version of the model [paraphrase-multilingual-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2).<br>
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  Its main task is to perform the [Natural Language Inference (NLI)](https://nlp.stanford.edu/projects/snli/) task in the Italian language.
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  2. Apply Knowledge Distillation on the output of (1.) with IT-EN translation dataset to retain NLI knowledge and improve Italian language comprehension.
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  ## Usage #1 (HuggingFace Transformers)
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- Some additional code is needed in order for the model to work, since it provides the capability to either retrieve embeddings or to retrieve labels.
 
 
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- You need to include a folder, preferably called **ISPIn** in your project, structured like the folder **ISPIn** in this repo.
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  Files needed:
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- 1. \_\_init\_\_.py (empty file)
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- 2. ISPInConfig.py
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  3. ISPIn.py
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  Python code for ISPInConfig.py
 
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  license: apache-2.0
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  ---
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  ## Lutech-AI/I-SPIn
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+ **I**talian-**S**entence **P**air **In**ference, AKA **I-SPIn**.<br>
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  This is a fine-tuned version of the model [paraphrase-multilingual-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2).<br>
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  Its main task is to perform the [Natural Language Inference (NLI)](https://nlp.stanford.edu/projects/snli/) task in the Italian language.
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  2. Apply Knowledge Distillation on the output of (1.) with IT-EN translation dataset to retain NLI knowledge and improve Italian language comprehension.
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  ## Usage #1 (HuggingFace Transformers)
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+ Some additional code is needed in order for the model to work, since it provides the capability to:
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+ 1. retrieve embeddings;
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+ 2. pass embeddings to a classifier to retrieve labels.
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+ You need to include a folder, preferably called **ISPIn**, in your project, structured like the folder **ISPIn** in this repo.
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  Files needed:
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+ 1. \_\_init\_\_.py (empty file);
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+ 2. ISPInConfig.py;
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  3. ISPIn.py
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  Python code for ISPInConfig.py