Update README.md

README.md

@@ -19,7 +19,9 @@ pipeline_tag: token-classification
 
 This is a fine-tuned model on the NER task. The original model is Turku NLP's [bert-base-finnish-uncased-v1](https://huggingface.co/TurkuNLP/bert-base-finnish-uncased-v1), and the fine-tuning dataset is Turku NLP's [turku_ner_corpus](https://huggingface.co/datasets/turku_ner_corpus/). 
 
-Please mention the original dataset if you use this model:
+The model is released under CC-BY-SA 4.0.
+
+Please mention the training dataset if you use this model:
 
 ```bibtex
 @inproceedings{luoma-etal-2020-broad,
@@ -105,8 +107,8 @@ Or Python API:
 ```
 from transformers import AutoModelForTokenClassification, AutoTokenizer
 
-model = AutoModelForTokenClassification.from_pretrained("drvenabili/bert-base-finnish-uncased-ner")
-tokenizer = AutoTokenizer.from_pretrained("drvenabili/bert-base-finnish-uncased-ner")
+model = AutoModelForTokenClassification.from_pretrained("iguanodon-ai/bert-base-finnish-uncased-ner")
+tokenizer = AutoTokenizer.from_pretrained("iguanodon-ai/bert-base-finnish-uncased-ner")
 
 inputs = tokenizer("Asun Brysselissä, Euroopan pääkaupungissa.", return_tensors="pt")
 outputs = model(**inputs)