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ner4archives/fr_ner4archives_camembert_base
fr_ner4archives_camembert_base 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 GPU and specialized on French National Archives findings aids (XML-EAD). Components: transformer, ner. Based on camembert-base model.
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From the Hugging Face model README
NER4Archives pipeline optimized for GPU and specialized on French National Archives findings aids (XML-EAD). Components: transformer, ner. Based on camembert-base model.
| Feature | Description |
|---|---|
| Name | fr_ner4archives_camembert_base |
| Version | 0.0.0 |
| spaCy | >=3.3.1,<3.4.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, 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 | 86.31 |
ENTS_P | 87.25 |
ENTS_R | 85.40 |
TRANSFORMER_LOSS | 159157.68 |
NER_LOSS | 27979.50 |