Token Classification
Transformers
PyTorch
Latin
xlm-roberta
Medieval Latin
Medieval Names
Latin NER
Latin-Vernacular
Instructions to use efontes/efontes-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use efontes/efontes-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="efontes/efontes-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("efontes/efontes-ner") model = AutoModelForTokenClassification.from_pretrained("efontes/efontes-ner") - Notebooks
- Google Colab
- Kaggle
Added tags
Browse files
README.md
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tags:
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- Medieval Latin
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- Medieval Names
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---
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Xlm-roberta-large model fine-tuned on **UD** and **eFontes** corpora, to optimize and enhance NER task on Polish medieval Latin texts from different genres.
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tags:
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- Medieval Latin
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- Medieval Names
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- Latin NER
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- Latin-Vernacular
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---
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Xlm-roberta-large model fine-tuned on **UD** and **eFontes** corpora, to optimize and enhance NER task on Polish medieval Latin texts from different genres.
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