Token Classification
Transformers
PyTorch
Icelandic
Old Norse
roberta
named-entity-recognition
ner
old-icelandic
medieval-icelandic
historical-nlp
icelandic
old-norse
medieval-nlp
medieval-scandinavian
old-scandinavian
Eval Results (legacy)
Instructions to use Riksarkivet/oldbertur-normalised-old-icelandic-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Riksarkivet/oldbertur-normalised-old-icelandic-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Riksarkivet/oldbertur-normalised-old-icelandic-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Riksarkivet/oldbertur-normalised-old-icelandic-ner") model = AutoModelForTokenClassification.from_pretrained("Riksarkivet/oldbertur-normalised-old-icelandic-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 105fec6a52460b17d19c5bc88cd4b1d8d8c43d7b8c925c1c1ea101af460bf2b0
- Size of remote file:
- 495 MB
- SHA256:
- 59d5a38c057570bc33d366f09eccfbd95fb52edafbfdfac45c72d1d37b62a01d
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