Update README.md

README.md

@@ -2,17 +2,7 @@
 ---
 language:
 - da
-tags:
-- ned
-- xlm-roberta
-- pytorch
-- transformers
 license: cc-by-sa-4.0
-datasets:
-- DaNED
-- DaWikiNED
-metrics:
-- f1
 ---
 
 # XLM-Roberta fine-tuned for Named Entity Disambiguation
@@ -25,8 +15,8 @@ Here is how to use the model:
 ```python
 from transformers import XLMRobertaTokenizer, XLMRobertaForSequenceClassification
 
-model = XLMRobertaForSequenceClassification.from_pretrained("DaNLP/da-xlmr-ned")
-tokenizer = XLMRobertaTokenizer.from_pretrained("DaNLP/da-xlmr-ned")
+model = XLMRobertaForSequenceClassification.from_pretrained("alexandrainst/da-xlmr-ned")
+tokenizer = XLMRobertaTokenizer.from_pretrained("alexandrainst/da-xlmr-ned")
 ```
 
 The tokenizer takes 2 strings has input: the sentence and the knowledge graph (KG) context. 
@@ -43,6 +33,4 @@ See the [DaNLP documentation](https://danlp-alexandra.readthedocs.io/en/latest/d
 
 ## Training Data 
 
-The model has been trained on the [DaNED](https://danlp-alexandra.readthedocs.io/en/latest/docs/datasets.html#daned) and [DaWikiNED](https://danlp-alexandra.readthedocs.io/en/latest/docs/datasets.html#dawikined) datasets. 
-
-
+The model has been trained on the [DaNED](https://danlp-alexandra.readthedocs.io/en/latest/docs/datasets.html#daned) and [DaWikiNED](https://danlp-alexandra.readthedocs.io/en/latest/docs/datasets.html#dawikined) datasets.