Token Classification
spaCy
Danish
dacy
danish
morphological analysis
dependency parsing
named entity recognition
Eval Results (legacy)
Instructions to use chcaa/da_dacy_edge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use chcaa/da_dacy_edge with spaCy:
!pip install https://huggingface.co/chcaa/da_dacy_edge/resolve/main/da_dacy_edge-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("da_dacy_edge") # Importing as module. import da_dacy_edge nlp = da_dacy_edge.load() - Notebooks
- Google Colab
- Kaggle
Download parser/cfg from chcaa/da_dacy_edge: direct link, hf CLI and curl.
- Browser
- Download file 222 Bytes
-
https://huggingface.co/chcaa/da_dacy_edge/resolve/main/parser/cfg
- Command line
-
hf download hf://chcaa/da_dacy_edge/parser/cfg
-
curl -L -o cfg https://huggingface.co/chcaa/da_dacy_edge/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 | |
| } |