Update README.md

added example usage

README.md

@@ -41,6 +41,21 @@ This is the model card of a 🤗 transformers model that has been pushed on the
 
 <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
 
+```
+from transformers import AutoModelForTokenClassification, AutoTokenizer, pipeline
+model = AutoModelForTokenClassification.from_pretrained('kalexa2/fabner-ner')
+tokenizer = AutoTokenizer.from_pretrained('kalexa2/fabner-ner')
+token_classifier = pipeline('ner',
+               model=model,
+               tokenizer=tokenizer,
+               aggregation_strategy="simple" )
+r = token_classifier("Here, we report in-situ characterization of melt-flow dynamics in every location of the entire melt pool in laser metal additive manufacturing by populous and uniformly dispersed micro-tracers through in-situ high-resolution synchrotron x-ray imaging .")
+ 
+for entity in r:
+    print(entity) 
+```
+
+
 [More Information Needed]
 
 ### Downstream Use [optional]