Instructions to use InfocubeSrl/LexCube with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InfocubeSrl/LexCube with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="InfocubeSrl/LexCube")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InfocubeSrl/LexCube", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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- **Source:** Provided by *Infocube*,
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- **Size:** 15,646 documents
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- **Language:** Italian
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- **Domain:** Legal and administrative texts (municipal delibera
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- Formal and technical legal language
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- Frequent references to laws, decrees, and legislative articles
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- Structured format with numbered provisions and cross-citations
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- **Source:** Provided by *Infocube*,
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- **Size:** 15,646 documents
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- **Language:** Italian
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- **Domain:** Legal and administrative texts (municipal delibera domain)
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| 86 |
- Formal and technical legal language
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| 87 |
- Frequent references to laws, decrees, and legislative articles
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| 88 |
- Structured format with numbered provisions and cross-citations
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