Token Classification
spaCy
German
job-title-extraction
ner
historical-newspapers
job-advertisements
digital-humanities
Instructions to use Var3n/jobads-position with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Var3n/jobads-position with spaCy:
!pip install https://huggingface.co/Var3n/jobads-position/resolve/main/jobads-position-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("jobads-position") # Importing as module. import jobads-position nlp = jobads-position.load() - Notebooks
- Google Colab
- Kaggle
Download meta.json from Var3n/jobads-position: direct link, hf CLI and curl.
- Browser
- Download file 865 Bytes
-
https://huggingface.co/Var3n/jobads-position/resolve/main/meta.json
- Command line
-
hf download hf://Var3n/jobads-position/meta.json
-
curl -L -o meta.json https://huggingface.co/Var3n/jobads-position/resolve/main/meta.json
865 Bytes
| { | |
| "lang":"de", | |
| "name":"pipeline", | |
| "version":"0.0.0", | |
| "spacy_version":">=3.7.5,<3.8.0", | |
| "description":"", | |
| "author":"", | |
| "email":"", | |
| "url":"", | |
| "license":"", | |
| "spacy_git_version":"a6d0fc360", | |
| "vectors":{ | |
| "width":0, | |
| "vectors":0, | |
| "keys":0, | |
| "name":null, | |
| "mode":"default" | |
| }, | |
| "labels":{ | |
| "transformer":[ | |
| ], | |
| "ner":[ | |
| "position" | |
| ] | |
| }, | |
| "pipeline":[ | |
| "transformer", | |
| "ner" | |
| ], | |
| "components":[ | |
| "transformer", | |
| "ner" | |
| ], | |
| "disabled":[ | |
| ], | |
| "performance":{ | |
| "ents_f":0.9286977018, | |
| "ents_p":0.9281507656, | |
| "ents_r":0.929245283, | |
| "ents_per_type":{ | |
| "position":{ | |
| "p":0.9281507656, | |
| "r":0.929245283, | |
| "f":0.9286977018 | |
| } | |
| }, | |
| "transformer_loss":7.4958435476, | |
| "ner_loss":568.5075034466 | |
| } | |
| } |