Token Classification
spaCy
Old English (ca. 450-1100)
old-english
anglo-saxon
universal-dependencies
dependency-parsing
lemmatization
historical-languages
low-resource
Eval Results (legacy)
Instructions to use Nerthus-Project/MATILDA_UD_parser_of_Old_English with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Nerthus-Project/MATILDA_UD_parser_of_Old_English with spaCy:
!pip install https://huggingface.co/Nerthus-Project/MATILDA_UD_parser_of_Old_English/resolve/main/MATILDA_UD_parser_of_Old_English-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("MATILDA_UD_parser_of_Old_English") # Importing as module. import MATILDA_UD_parser_of_Old_English nlp = MATILDA_UD_parser_of_Old_English.load() - Notebooks
- Google Colab
- Kaggle
Download tok2vec/model from Nerthus-Project/MATILDA_UD_parser_of_Old_English: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/Nerthus-Project/MATILDA_UD_parser_of_Old_English/resolve/main/tok2vec/model
- Command line
-
hf download hf://Nerthus-Project/MATILDA_UD_parser_of_Old_English/tok2vec/model
-
curl -L -o model https://huggingface.co/Nerthus-Project/MATILDA_UD_parser_of_Old_English/resolve/main/tok2vec/model
34.4 MB
- Xet hash:
- 32914cb08eac22792dca3ca24856c5016a4e7c341d9d14211f41cdbcb261c573
- Size of remote file:
- 34.4 MB
- SHA256:
- 9a9c982886c0244ae970a969f92a8b1356ca37484cee2ad0d2e9ad037d75f651
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