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
A test pipeline for ModelManager testing purposes
| Feature | Description |
|---|---|
| Name | de_test_pipeline |
| Version | 0.1.0 |
| spaCy | >=3.5.3,<3.6.0 |
| Default Pipeline | tok2vec, spancat |
| Components | tok2vec, spancat |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | MIT |
| Author | Liam Keegan |
Label Scheme
View label scheme (24 labels for 1 components)
| Component | Labels |
|---|---|
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 |
Accuracy
| Type | Score |
|---|---|
SPANS_SC_F |
0.04 |
SPANS_SC_P |
0.02 |
SPANS_SC_R |
36.36 |
TOK2VEC_LOSS |
50495.68 |
SPANCAT_LOSS |
1149148.34 |
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