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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- **Developed by:** [Mohammad Mahdi Heydari Asl](https://huggingface.co/HYDARIM7) / infocube
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- **Model type:** Transformer, BERT-based Masked Language Model
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- **Language(s):** Italian
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- **License:** Apache-2.0
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- **Developed by:** [Mohammad Mahdi Heydari Asl](https://huggingface.co/HYDARIM7) / infocube
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- **Model type:** Transformer, BERT-based Masked Language Model
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- **Language(s):** Italian
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- **License:** Apache-2.0
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