Token Classification
Transformers
Latin
Spanish
history
humanities
text-classification
sequence-classification
early-modern
historical-text
latin
spanish
canine
boundary-detection
Eval Results (legacy)
Instructions to use mpilhlt/canine-salamanca-boundary-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mpilhlt/canine-salamanca-boundary-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mpilhlt/canine-salamanca-boundary-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mpilhlt/canine-salamanca-boundary-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Fix publication date in README.
Browse files
README.md
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@@ -225,7 +225,7 @@ repository:
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author = {Wagner, Andreas and others},
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title = {svsal-poco: Abbreviation Expansion Pipeline for Early Modern
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Spanish and Latin Printed Texts},
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-
year = {
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publisher = {GitHub},
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url = {https://github.com/digicademy/svsal-poco}
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}
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author = {Wagner, Andreas and others},
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title = {svsal-poco: Abbreviation Expansion Pipeline for Early Modern
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Spanish and Latin Printed Texts},
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+
year = {2026},
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publisher = {GitHub},
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url = {https://github.com/digicademy/svsal-poco}
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}
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