Instructions to use colinglab/BureauBERTo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use colinglab/BureauBERTo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="colinglab/BureauBERTo")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("colinglab/BureauBERTo") model = AutoModelForMaskedLM.from_pretrained("colinglab/BureauBERTo") - Notebooks
- Google Colab
- Kaggle
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- text: Gli sviluppi delle prestazioni rivalutate e del valore di [MASK] sono di seguito riportati
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BureauBERTo is the first transformer-based language model adapted to the Italian Public Administration (PA) and technical-bureaucratic domains. This model results from a further pre-training applied to the general-purpose Italian model UmBERTo.
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## Training Corpus
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<img src="https://huggingface.co/colinglab/BureauBERTo/blob/main/bureauberto.jpg" width="600"/>
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BureauBERTo is the first transformer-based language model adapted to the Italian Public Administration (PA) and technical-bureaucratic domains. This model results from a further pre-training applied to the general-purpose Italian model UmBERTo.
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## Training Corpus
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