Instructions to use UGARIT/grc-ner-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UGARIT/grc-ner-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="UGARIT/grc-ner-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("UGARIT/grc-ner-bert") model = AutoModelForTokenClassification.from_pretrained("UGARIT/grc-ner-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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language:
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- grc
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base_model:
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- pranaydeeps/Ancient-Greek-BERT
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tags:
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- token-classification
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widget:
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- text: ταῦτα εἴπας ὁ Ἀλέξανδρος παρίζει Πέρσῃ ἀνδρὶ ἄνδρα Μακεδόνα ὡς γυναῖκα τῷ λόγῳ · οἳ δέ , ἐπείτε σφέων οἱ Πέρσαι ψαύειν ἐπειρῶντο , διεργάζοντο αὐτούς .
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# Named Entity Recognition for Ancient Greek
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Pretrained NER tagging model for ancient Greek
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