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ner4archives/fr_ner4archives_default_test
fr_ner4archives_default_test is a token classification model from ner4archives. Use it when you need labels on individual words, such as names. It is set up for spacy.
NER4Archives pipeline optimized for CPU and specialized on French National Archives findings aids (XML-EAD) - Corpus V2. Components: tok2vec, ner. Base default CNN architecture.
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From the Hugging Face model README
NER4Archives pipeline optimized for CPU and specialized on French National Archives findings aids (XML-EAD) - Corpus V2. Components: tok2vec, ner. Base default CNN architecture.
| Feature | Description |
|---|---|
| Name | fr_ner4archives_default_test |
| Version | 0.0.0 |
| spaCy | >=3.3.1,<3.4.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | French corpus for the NER task composed of finding aids in XML-EAD from the National Archives of France (v. 2.0) - Check corpus version on GitHub |
| License | CC-BY-4.0 license |
| Author | Archives nationales / Inria-Almanach |
| Component | Labels |
|---|---|
ner | EVENT, LOCATION, ORGANISATION, PERSON, TITLE |
| Type | Score |
|---|---|
ENTS_F | 76.95 |
ENTS_P | 80.00 |
ENTS_R | 74.13 |
TOK2VEC_LOSS | 76044.50 |
NER_LOSS | 75529.77 |