Instructions to use DanielHellebust/cycLingoNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use DanielHellebust/cycLingoNER with spaCy:
!pip install https://huggingface.co/DanielHellebust/cycLingoNER/resolve/main/cycLingoNER-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("cycLingoNER") # Importing as module. import cycLingoNER nlp = cycLingoNER.load() - Notebooks
- Google Colab
- Kaggle
Download meta.json from DanielHellebust/cycLingoNER: direct link, hf CLI and curl.
- Browser
- Download file 820 Bytes
-
https://huggingface.co/DanielHellebust/cycLingoNER/resolve/main/meta.json
- Command line
-
hf download hf://DanielHellebust/cycLingoNER/meta.json
-
curl -L -o meta.json https://huggingface.co/DanielHellebust/cycLingoNER/resolve/main/meta.json
820 Bytes
| { | |
| "lang":"en", | |
| "name":"pipeline", | |
| "version":"0.0.0", | |
| "spacy_version":">=3.4.4,<3.5.0", | |
| "description":"", | |
| "author":"", | |
| "email":"", | |
| "url":"", | |
| "license":"", | |
| "spacy_git_version":"77833bfef", | |
| "vectors":{ | |
| "width":0, | |
| "vectors":0, | |
| "keys":0, | |
| "name":null, | |
| "mode":"default" | |
| }, | |
| "labels":{ | |
| "transformer":[ | |
| ], | |
| "ner":[ | |
| "cycLingo" | |
| ] | |
| }, | |
| "pipeline":[ | |
| "transformer", | |
| "ner" | |
| ], | |
| "components":[ | |
| "transformer", | |
| "ner" | |
| ], | |
| "disabled":[ | |
| ], | |
| "performance":{ | |
| "ents_f":0.8891671885, | |
| "ents_p":0.8891671885, | |
| "ents_r":0.8891671885, | |
| "ents_per_type":{ | |
| "cycLingo":{ | |
| "p":0.8891671885, | |
| "r":0.8891671885, | |
| "f":0.8891671885 | |
| } | |
| }, | |
| "transformer_loss":1976.8358708828, | |
| "ner_loss":3304.6033547151 | |
| } | |
| } |