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 parser/cfg from Nerthus-Project/MATILDA_UD_parser_of_Old_English: direct link, hf CLI and curl.
- Browser
- Download file 222 Bytes
-
https://huggingface.co/Nerthus-Project/MATILDA_UD_parser_of_Old_English/resolve/main/parser/cfg
- Command line
-
hf download hf://Nerthus-Project/MATILDA_UD_parser_of_Old_English/parser/cfg
-
curl -L -o cfg https://huggingface.co/Nerthus-Project/MATILDA_UD_parser_of_Old_English/resolve/main/parser/cfg
222 Bytes
| { | |
| "moves":null, | |
| "update_with_oracle_cut_size":100, | |
| "multitasks":[ | |
| ], | |
| "min_action_freq":30, | |
| "learn_tokens":false, | |
| "beam_width":1, | |
| "beam_density":0.0, | |
| "beam_update_prob":0.0, | |
| "incorrect_spans_key":null | |
| } |