text
The most widely used French NER models on HF (
The most widely used French NER models on HF (
resource
https://huggingface.co/Jean-Baptiste/camembert-ner
model
Jean-Baptiste/camembert-ner
https://huggingface.co/Jean-Baptiste/camembert-ner
text
 and 
 and 
resource
https://huggingface.co/cmarkea/distilcamembert-base-ner
model
cmarkea/distilcamembert-base-ner
https://huggingface.co/cmarkea/distilcamembert-base-ner
text
) are trained on a single dataset (WikiNER) which on the one hand contains leaks and therefore distorts the true results of these models, and on the other hand overspecializes them in a particular domain (= texts from Wikipedia). They are also only available in a base version (110M parameters).
) are trained on a single dataset (WikiNER) which on the one hand contains leaks and therefore distorts the true results of these models, and on the other hand overspecializes them in a particular domain (= texts from Wikipedia). They are also only available in a base version (110M parameters).
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text
That's why I've trained new NER models in French both on more data (x3), as well as in base and large versions (336M). They are available in 3 entities (PER, ORG, LOC) or 4 entities (PER, ORG, LOC, MISC):
That's why I've trained new NER models in French both on more data (x3), as well as in base and large versions (336M). They are available in 3 entities (PER, ORG, LOC) or 4 entities (PER, ORG, LOC, MISC):
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text
- 
- 
resource
https://huggingface.co/CATIE-AQ/NERmembert-base-4entities
model
CATIE-AQ/NERmembert-base-4entities
https://huggingface.co/CATIE-AQ/NERmembert-base-4entities
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text
- 
- 
resource
https://huggingface.co/CATIE-AQ/NERmembert-large-4entities
model
CATIE-AQ/NERmembert-large-4entities
https://huggingface.co/CATIE-AQ/NERmembert-large-4entities
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text
- 
- 
resource
https://huggingface.co/CATIE-AQ/NERmembert-base-3entities
model
CATIE-AQ/NERmembert-base-3entities
https://huggingface.co/CATIE-AQ/NERmembert-base-3entities
new_line
text
- 
- 
resource
https://huggingface.co/CATIE-AQ/NERmembert-large-3entities
model
CATIE-AQ/NERmembert-large-3entities
https://huggingface.co/CATIE-AQ/NERmembert-large-3entities
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Datasets without leaks are also available:
Datasets without leaks are also available:
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text
- 
- 
resource
https://huggingface.co/datasets/CATIE-AQ/frenchNER_4entities
dataset
CATIE-AQ/frenchNER_4entities
https://huggingface.co/datasets/CATIE-AQ/frenchNER_4entities
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text
- 
- 
resource
https://huggingface.co/datasets/CATIE-AQ/frenchNER_3entities
dataset
CATIE-AQ/frenchNER_3entities
https://huggingface.co/datasets/CATIE-AQ/frenchNER_3entities
new_line
The most widely used French NER models on HF (https://huggingface.co/Jean-Baptiste/camembert-ner and https://huggingface.co/cmarkea/distilcamembert-base-ner) are trained on a single dataset (WikiNER) which on the one hand contains leaks and therefore distorts the true results of these models, and on the other hand overspecializes them in a particular domain (= texts from Wikipedia). They are also only available in a base version (110M parameters).

That's why I've trained new NER models in French both on more data (x3), as well as in base and large versions (336M). They are available in 3 entities (PER, ORG, LOC) or 4 entities (PER, ORG, LOC, MISC):
- https://huggingface.co/CATIE-AQ/NERmembert-base-4entities
- https://huggingface.co/CATIE-AQ/NERmembert-large-4entities
- https://huggingface.co/CATIE-AQ/NERmembert-base-3entities
- https://huggingface.co/CATIE-AQ/NERmembert-large-3entities

Datasets without leaks are also available:
- https://huggingface.co/datasets/CATIE-AQ/frenchNER_4entities
- https://huggingface.co/datasets/CATIE-AQ/frenchNER_3entities

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