Update README.md

README.md

@@ -1,4 +1,6 @@
 ---
+license: 
+- mit
 language:
 - en
 base_model:
@@ -12,20 +14,10 @@ model-index:
   - name: Nucha/Nucha_SkillNER_BERT
     results: []
 widget:
-  - text: 63 year old woman with history of CAD presented to ER
-    example_title: Example-1
-  - text: 63 year old woman diagnosed with CAD
-    example_title: Example-2
-  - text: >-
-      A 48 year-old female presented with vaginal bleeding and abnormal Pap
-      smears. Upon diagnosis of invasive non-keratinizing SCC of the cervix, she
-      underwent a radical hysterectomy with salpingo-oophorectomy which
-      demonstrated positive spread to the pelvic lymph nodes and the
-      parametrium. Pathological examination revealed that the tumour also
-      extensively involved the lower uterine segment.
-    example_title: example 3
+- text: "Jens Peter Hansen kommer fra Danmark"
 pipeline_tag: token-classification
 ---
+
 # Computing Skill NER
 **Nucha_SkillNER_BERT** is a Named Entity Recognition (NER) model specifically fine-tuned to recognize skill-related entities from text, focusing on identifying both hard and soft skills. This model is built on top of a BERT-based architecture, allowing it to leverage contextual understanding for accurate extraction of skill-related information. It is particularly useful for analyzing job descriptions, resumes, or any text where skills are explicitly mentioned.