Instructions to use MSLars/de_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use MSLars/de_pipeline with spaCy:
!pip install https://huggingface.co/MSLars/de_pipeline/resolve/main/de_pipeline-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("de_pipeline") # Importing as module. import de_pipeline nlp = de_pipeline.load() - Notebooks
- Google Colab
- Kaggle
Download meta.json from MSLars/de_pipeline: direct link, hf CLI and curl.
- Browser
- Download file 1.3 kB
-
https://huggingface.co/MSLars/de_pipeline/resolve/main/meta.json
- Command line
-
hf download hf://MSLars/de_pipeline/meta.json
-
curl -L -o meta.json https://huggingface.co/MSLars/de_pipeline/resolve/main/meta.json
1.3 kB
| { | |
| "lang":"de", | |
| "name":"pipeline", | |
| "version":"0.0.0", | |
| "description":"", | |
| "author":"", | |
| "email":"", | |
| "url":"", | |
| "license":"", | |
| "spacy_version":">=3.7.2,<3.8.0", | |
| "spacy_git_version":"a89eae928", | |
| "vectors":{ | |
| "width":0, | |
| "vectors":0, | |
| "keys":0, | |
| "name":null | |
| }, | |
| "labels":{ | |
| "transformer":[ | |
| ], | |
| "ner":[ | |
| "GPE", | |
| "LOC", | |
| "ORG", | |
| "OTH", | |
| "PER" | |
| ] | |
| }, | |
| "pipeline":[ | |
| "transformer", | |
| "ner" | |
| ], | |
| "components":[ | |
| "transformer", | |
| "ner" | |
| ], | |
| "disabled":[ | |
| ], | |
| "performance":{ | |
| "ents_f":0.8945599664, | |
| "ents_p":0.9067489887, | |
| "ents_r":0.8826943005, | |
| "ents_per_type":{ | |
| "GPE":{ | |
| "p":0.9188587335, | |
| "r":0.9434124035, | |
| "f":0.9309737009 | |
| }, | |
| "PER":{ | |
| "p":0.962408436, | |
| "r":0.9491148686, | |
| "f":0.9557154277 | |
| }, | |
| "ORG":{ | |
| "p":0.8456036288, | |
| "r":0.8292557742, | |
| "f":0.8373499179 | |
| }, | |
| "OTH":{ | |
| "p":0.7113578138, | |
| "r":0.5678254942, | |
| "f":0.6315390447 | |
| }, | |
| "LOC":{ | |
| "p":0.7875523639, | |
| "r":0.6441507587, | |
| "f":0.7086698977 | |
| } | |
| }, | |
| "transformer_loss":910.8173626132, | |
| "ner_loss":1261.2253521142 | |
| }, | |
| "requirements":[ | |
| "spacy-transformers>=1.3.4,<1.4.0" | |
| ] | |
| } |