eFontes - v1
Collection
Deprecated eFontes models (the lemmatization model required processing to produce correct predictions) • 5 items • Updated
Token Classification
Transformers
PyTorch
Latin
xlm-roberta
Medieval Latin
Latin
Morphological Features
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("efontes/efontes-feats")
model = AutoModelForTokenClassification.from_pretrained("efontes/efontes-feats", device_map="auto")Quick Links
A newer version of this model is available: efontes/efontes-latin-feats-v2
⚠️ Deprecated model
This is the original 2024 eFontes feats release. It is retained for reproducibility, but its output may contain known formatting errors.
Use the corrected eFontes Latin Feats v2 instead.
Xlm-roberta-large model fine-tuned on UD and eFontes corpora, to optimize and enhance feats tagging task on Polish medieval Latin texts from different genres.
Details can be found in the paper:
Nowak, Krzysztof, Jędrzej Ziębura, Krzysztof Wróbel and Aleksander Smywiński-Pohl. "eFontes. Part of Speech Tagging and Lemmatization of Medieval Latin Texts. A Cross-Genre Survey." (2024). https://doi.org/10.48550/arXiv.2407.00418
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="efontes/efontes-feats")