Instructions to use iulusoy/de_test_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use iulusoy/de_test_pipeline with spaCy:
!pip install https://huggingface.co/iulusoy/de_test_pipeline/resolve/main/de_test_pipeline-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("de_test_pipeline") # Importing as module. import de_test_pipeline nlp = de_test_pipeline.load() - Notebooks
- Google Colab
- Kaggle
Download meta.json from iulusoy/de_test_pipeline: direct link, hf CLI and curl.
- Browser
- Download file 1.31 kB
-
https://huggingface.co/iulusoy/de_test_pipeline/resolve/main/meta.json
- Command line
-
hf download hf://iulusoy/de_test_pipeline/meta.json
-
curl -L -o meta.json https://huggingface.co/iulusoy/de_test_pipeline/resolve/main/meta.json
1.31 kB
| { | |
| "lang":"de", | |
| "name":"test_pipeline", | |
| "version":"0.1.0", | |
| "description":"A test pipeline for ModelManager testing purposes", | |
| "author":"Liam Keegan", | |
| "email":"liam@keegan.ch", | |
| "url":"https://github.com/ssciwr/moralization", | |
| "license":"MIT", | |
| "spacy_version":">=3.5.3,<3.6.0", | |
| "spacy_git_version":"Unknown", | |
| "vectors":{ | |
| "width":0, | |
| "vectors":0, | |
| "keys":0, | |
| "name":null | |
| }, | |
| "labels":{ | |
| "tok2vec":[ | |
| ], | |
| "spancat":[ | |
| "Moralisierung explizit", | |
| "Care", | |
| "Institution", | |
| "Forderer:in", | |
| "Keine Moralisierung", | |
| "Darstellung", | |
| "Individuum", | |
| "Neutral", | |
| "Fairness", | |
| "soziale Gruppe", | |
| "Cheating", | |
| "Appell", | |
| "explizit", | |
| "Moralisierung", | |
| "Adresassat:in", | |
| "Own Group", | |
| "Moralisierung interpretativ", | |
| "Benefizient:in", | |
| "Other Group", | |
| "Menschen", | |
| "Oppression", | |
| "Liberty", | |
| "Harm", | |
| "Kein Bezug" | |
| ] | |
| }, | |
| "pipeline":[ | |
| "tok2vec", | |
| "spancat" | |
| ], | |
| "components":[ | |
| "tok2vec", | |
| "spancat" | |
| ], | |
| "disabled":[ | |
| ], | |
| "performance":{ | |
| "spans_sc_f":0.0003984858, | |
| "spans_sc_p":0.0001993521, | |
| "spans_sc_r":0.3636363636, | |
| "tok2vec_loss":504.9567565918, | |
| "spancat_loss":11491.4833984375 | |
| }, | |
| "requirements":[ | |
| ] | |
| } |