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README.md

@@ -14,12 +14,12 @@ widget:
 
 ## Introduction
 
-This model is a fine-tuned verion from [HueyNemud/das22-10-camembert_pretrained](https://huggingface.co/nlpso/HueyNemud/das22-10-camembert_pretrained) for **nested NER task** on a nested NER Paris trade directories dataset.
+This model is a fine-tuned verion 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.
 
 ## Dataset
 
 Abbreviation|Description
--|-|-
+-|-
 O |Outside of a named entity
 PER |Person or company name
 ACT |Person or company professional activity
@@ -33,13 +33,4 @@ FT |2|Geographical feature
 * Pretrained-model : [HueyNemud/das22-10-camembert_pretrained](https://huggingface.co/nlpso/HueyNemud/das22-10-camembert_pretrained)
 * Dataset : noisy (Pero OCR)
 * Tagging format : IO
-* Recognised entities : 'All (flat entities)'
-
-## Load model from the Hugging Face
-
-```python
-from transformers import AutoTokenizer, AutoModelForTokenClassification
-
-tokenizer = AutoTokenizer.from_pretrained("m0_flat_ner_ocr_ptrn_cmbert_io")
-model = AutoModelForTokenClassification.from_pretrained("m0_flat_ner_ocr_ptrn_cmbert_io")
-
+* Recognised entities : All (flat entities)