Upload README.md with huggingface_hub

README.md

@@ -14,7 +14,7 @@ widget:
 
 ## Introduction
 
-This model is a model that was fine-tuned 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 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.
 
 ## Dataset
 
@@ -33,19 +33,19 @@ FT |2|Geographical feature
 
 ## Experiment parameter
 
-* Pretrained-model : [HueyNemud/das22-10-camembert_pretrained](https://huggingface.co/nlpso/HueyNemud/das22-10-camembert_pretrained)
+* Pretrained-model : [HueyNemud/das22-10-camembert_pretrained](https://huggingface.co/HueyNemud/das22-10-camembert_pretrained)
 * Dataset : noisy (Pero OCR)
 * Tagging format : IOB2
 * Recognised entities : level 2
 
 ## Load model from the Hugging Face
 
-**Warning** : this model only recognises level-2 entities of dataset. It has to be used with [m1_ind_layers_ocr_cmbert_iob2_level_1](https://huggingface.co/nlpso/m1_ind_layers_ocr_cmbert_iob2_level_1) to recognise nested entities level-1.
+**Warning 1 ** : this model only recognises level-2 entities of dataset. It has to be used with [m1_ind_layers_ocr_cmbert_iob2_level_1](https://huggingface.co/nlpso/m1_ind_layers_ocr_cmbert_iob2_level_1) to recognise nested entities level-1.
 
 ```python
 from transformers import AutoTokenizer, AutoModelForTokenClassification
 
-tokenizer = AutoTokenizer.from_pretrained("m1_ind_layers_ocr_cmbert_iob2_level_2")
-model = AutoModelForTokenClassification.from_pretrained("m1_ind_layers_ocr_cmbert_iob2_level_2")
+tokenizer = AutoTokenizer.from_pretrained(nlpso/"m1_ind_layers_ocr_cmbert_iob2_level_2")
+model = AutoModelForTokenClassification.from_pretrained(nlpso/"m1_ind_layers_ocr_cmbert_iob2_level_2")