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+ ---
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+ license: mit
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+ language:
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+ - el
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+ base_model:
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+ - princeton-logion/logion-bert-base
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+ pipeline_tag: fill-mask
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+ ---
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+
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+ # Logion ATE model (BERT-based)
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+
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+ [Logion Base BERT model](https://huggingface.co/princeton-logion/logion-bert-base) fine-tuned to **A**ristotle, **T**heophrastus, and **E**udlic texts.
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+
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+ Fine-tuned for mask-filling on a set of 1.5+ million words (all of Theophrastus, Euclid, and Aristotle, minus *De lineis insecabilibus*).
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+
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+ ## How to use
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+
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+ Requirements:
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+
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+ ```python
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+ pip install transformers
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+ ```
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+
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+ Load the model and tokenizer directly from the HuggingFace Model Hub:
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+
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+
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+ ```python
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+ from transformers import BertTokenizer, BertForMaskedLM
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+ tokenizer = BertTokenizer.from_pretrained("princeton-logion/logion-bert-ate")
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+ model = BertForMaskedLM.from_pretrained("princeton-logion/logion-bert-ate")
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+ ```
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+
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+
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+ ## Cite
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+
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+ If you use this model in your research, please cite the repo.