Update README.md

README.md

@@ -48,7 +48,7 @@ widget:
 ---
 
 
-# numind/NuNER-v1.0 fine-tuned on FewNERD-fine-supervised
+# numind/NuNER-v1.0 fine-tuned on FewNERD-coarse-supervised
 
 This is a [NuNER](https://arxiv.org/abs/2402.15343) model fine-tuned on the [FewNERD](https://huggingface.co/datasets/DFKI-SLT/few-nerd) dataset that can be used for Named Entity Recognition. NuNER model uses [RoBERTa-base](https://huggingface.co/FacebookAI/roberta-base) as the backbone encoder and it was trained on the [NuNER dataset](https://huggingface.co/datasets/numind/NuNER), which is a large and diverse dataset synthetically labeled by gpt-3.5-turbo-0301 of 1M sentences. This further pre-training phase allowed the generation of high quality token embeddings, a good starting point for fine-tuning on more specialized datasets.
 
@@ -82,7 +82,7 @@ The model was fine-tuned as a regular BERT-based model for NER task using Huggin
 
 >>> classifier = pipeline(
     "ner",
-    model="guishe/nuner-v1_fewnerd_fine_super",
+    model="guishe/nuner-v1_fewnerd_coarse_super",
     grouped_entities=True
 )
 >>> classifier(text)