Instructions to use ProMeText/aquilign-multilingual-segmenter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProMeText/aquilign-multilingual-segmenter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ProMeText/aquilign-multilingual-segmenter")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ProMeText/aquilign-multilingual-segmenter") model = AutoModelForTokenClassification.from_pretrained("ProMeText/aquilign-multilingual-segmenter") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- multilingual
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---
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language:
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- la
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- fr
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- es
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- pt
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- ca
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- en
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- it
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tags:
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- token-classification
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- sentence-segmentation
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- phrase-segmentation
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- historical-texts
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- medieval-texts
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- multilingual
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- digital-humanities
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- computational-humanities
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license: cc-by-nc-sa-4.0
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library_name: transformers
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pipeline_tag: token-classification
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# Aquilign Multilingual Segmenter
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- multilingual
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# Aquilign Multilingual Segmenter
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