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README.md

@@ -1,5 +1,7 @@
 ---
 language: fr
+datasets:
+- nlpso/m1_fine_tuning_ocr_cmbert_iob2
 tag: token-classification
 widget:
 - text: 'Duflot, loueur de carrosses, r. de Paradis-
    505
    Poissonnière, 22.'
@@ -14,7 +16,7 @@ widget:
 
 ## Introduction
 
-This model is a model that was fine-tuned from [HueyNemud/das22-10-camembert_pretrained](https://huggingface.co/HueyNemud/das22-10-camembert_pretrained) for **nested NER task** on a nested NER Paris trade directories dataset.
+This model is a model that was fine-tuned from [Jean-Baptiste/camembert-ner](https://huggingface.co/Jean-Baptiste/camembert-ner) for **nested NER task** on a nested NER Paris trade directories dataset.
 
 ## Dataset
 
@@ -33,7 +35,7 @@ FT |2|Geographical feature
 
 ## Experiment parameter
 
-* Pretrained-model : [HueyNemud/das22-10-camembert_pretrained](https://huggingface.co/HueyNemud/das22-10-camembert_pretrained)
+* Pretrained-model : [Jean-Baptiste/camembert-ner](https://huggingface.co/Jean-Baptiste/camembert-ner)
 * Dataset : noisy (Pero OCR)
 * Tagging format : IOB2
 * Recognised entities : level 1
@@ -48,4 +50,3 @@ from transformers import AutoTokenizer, AutoModelForTokenClassification
 tokenizer = AutoTokenizer.from_pretrained("nlpso/m1_ind_layers_ocr_cmbert_iob2_level_1")
 model = AutoModelForTokenClassification.from_pretrained("nlpso/m1_ind_layers_ocr_cmbert_iob2_level_1")
 
-