Instructions to use binbin83/fr_lexical_death with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use binbin83/fr_lexical_death with spaCy:
!pip install https://huggingface.co/binbin83/fr_lexical_death/resolve/main/fr_lexical_death-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("fr_lexical_death") # Importing as module. import fr_lexical_death nlp = fr_lexical_death.load() - Notebooks
- Google Colab
- Kaggle
Download meta.json from binbin83/fr_lexical_death: direct link, hf CLI and curl.
- Browser
- Download file 1.01 kB
-
https://huggingface.co/binbin83/fr_lexical_death/resolve/main/meta.json
- Command line
-
hf download hf://binbin83/fr_lexical_death/meta.json
-
curl -L -o meta.json https://huggingface.co/binbin83/fr_lexical_death/resolve/main/meta.json
1.01 kB
| { | |
| "lang":"fr", | |
| "name":"lexical_death", | |
| "version":"0.0.1", | |
| "description":"", | |
| "author":"", | |
| "email":"", | |
| "url":"", | |
| "license":"", | |
| "spacy_version":">=3.4.4,<3.5.0", | |
| "spacy_git_version":"Unknown", | |
| "vectors":{ | |
| "width":0, | |
| "vectors":0, | |
| "keys":0, | |
| "name":null | |
| }, | |
| "labels":{ | |
| "transformer":[ | |
| ], | |
| "ner":[ | |
| "MORT_EXPLICITE", | |
| "MORT_IMPLICITE" | |
| ] | |
| }, | |
| "pipeline":[ | |
| "transformer", | |
| "ner" | |
| ], | |
| "components":[ | |
| "transformer", | |
| "ner" | |
| ], | |
| "disabled":[ | |
| ], | |
| "performance":{ | |
| "ents_f":0.776119403, | |
| "ents_p":0.8253968254, | |
| "ents_r":0.7323943662, | |
| "ents_per_type":{ | |
| "MORT_IMPLICITE":{ | |
| "p":0.6666666667, | |
| "r":0.5517241379, | |
| "f":0.6037735849 | |
| }, | |
| "MORT_EXPLICITE":{ | |
| "p":0.9230769231, | |
| "r":0.8571428571, | |
| "f":0.8888888889 | |
| } | |
| }, | |
| "transformer_loss":517.7816710686, | |
| "ner_loss":411.6377508902 | |
| }, | |
| "requirements":[ | |
| "spacy-transformers>=1.1.9,<1.2.0" | |
| ] | |
| } |