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SteffRhes/de_APIS_OEBL_NER_trf
de_APIS_OEBL_NER_trf 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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From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | de_APIS_OEBL_NER_trf |
| Version | 1.0 |
| spaCy | >=3.6.0,<3.7.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
| Component | Labels |
|---|---|
ner | LOC, ORG, PER |
| Type | Score |
|---|---|
ENTS_F | 82.45 |
ENTS_P | 80.18 |
ENTS_R | 84.84 |
TRANSFORMER_LOSS | 52932.36 |
NER_LOSS | 52005.98 |
Trained on data originating from the APIS project and the Austrian Biographical Lexicon (ÖBL).
Reproducible training context (model m3): https://github.com/acdh-oeaw/veld_chain_7_train/
Dataset available here: https://huggingface.co/datasets/SteffRhes/APIS_OEBL__Named_Entity_Recognition