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de_pipeline
Doener48/de_pipeline
de_pipeline is a token classification model from Doener48. Use it when you need labels on individual words, such as names. It is set up for spacy.
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1.2 GB
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Other642 MB · 51%
At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Mar 3, 2023
- Updated
- Mar 3, 2023
- SHA
- 910937a4
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | de_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.5.0,<3.6.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 500000 keys, 500000 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
<details> <summary>View label scheme (2 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | HARD, SOFT |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 59.32 |
ENTS_P | 56.20 |
ENTS_R | 62.80 |
TOK2VEC_LOSS | 6832.54 |
NER_LOSS | 433121.20 |
- Task
- Token Classification
- Library
- spacy
- Languages
- de
- Created
- Mar 3, 2023
- Updated
- Mar 3, 2023