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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Parent(s): bab2511
Update README.md
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README.md
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@@ -14,7 +14,7 @@ The prediction labels may assume three possible values:
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1. Train [paraphrase-multilingual-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2) on the NLI task;
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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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In the environment on which you want to run the project, type:
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```markdown
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pip install --extra-index-url https://test.pypi.org/simple/ ispin
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print(predictions) # -> [0 -1]
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```
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## Usage #2 (cloning repo) (will be deleted)
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In a terminal located in your project folder, type: 'git clone https://huggingface.co/Lutech-AI/I-SPIn/ ISPIn'. <br>
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Please specify the final 'ISPIn' to avoid complications when calling the Python module. <br>
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Then, in the code where you call the model, substitute the line:
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1. Train [paraphrase-multilingual-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2) on the NLI task;
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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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In the environment on which you want to run the project, type:
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```markdown
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pip install --extra-index-url https://test.pypi.org/simple/ ispin
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print(predictions) # -> [0 -1]
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```
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### Usage #2 (cloning repo) (will be deleted)
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In a terminal located in your project folder, type: 'git clone https://huggingface.co/Lutech-AI/I-SPIn/ ISPIn'. <br>
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Please specify the final 'ISPIn' to avoid complications when calling the Python module. <br>
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Then, in the code where you call the model, substitute the line:
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