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de_APIS_OEBL_NER_lg
SteffRhes/de_APIS_OEBL_NER_lg
de_APIS_OEBL_NER_lg is a token classification model from SteffRhes. Use it when you need labels on individual words, such as names. It is set up for spacy. The card lists the license as mit.
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At a glance
- Task
- Token Classification
- Library
- spacy
- License
- mit
- Access
- Public
- Created
- Nov 30, 2023
- Updated
- Dec 13, 2024
- SHA
- afe0f5ee
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | de_APIS_OEBL_NER_lg |
| Version | 1.0 |
| spaCy | >=3.6.0,<3.7.0 |
| 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 (3 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | LOC, ORG, PER |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 77.85 |
ENTS_P | 76.71 |
ENTS_R | 79.03 |
TOK2VEC_LOSS | 13266.36 |
NER_LOSS | 378634.81 |
Sources
Trained on data originating from the APIS project and the Austrian Biographical Lexicon (ÖBL).
Reproducible training context (model m2): https://github.com/acdh-oeaw/veld_chain_7_train/
Dataset available here: https://huggingface.co/datasets/SteffRhes/APIS_OEBL__Named_Entity_Recognition
- Task
- Token Classification
- Library
- spacy
- License
- mit
- Languages
- de
- Created
- Nov 30, 2023
- Updated
- Dec 13, 2024