Update README.md

updated the model name and model card in yaml format

README.md

@@ -11,7 +11,7 @@ metrics:
 - precision
 - recall
 - f1
-model_name: my-custom-ner-model
+model_name: osa-custom-ner-model
 widget:
 - text: "The SALES of BEER and WINE in TTL US is increasing."
 ---
@@ -34,8 +34,8 @@ The model is trained to recognize the following entities:
 from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
 
 # Load the model and tokenizer
-model = AutoModelForTokenClassification.from_pretrained("username/my-custom-ner-model")
-tokenizer = AutoTokenizer.from_pretrained("username/my-custom-ner-model")
+model = AutoModelForTokenClassification.from_pretrained("AnanthanarayananSeetharaman/osa-custom-ner-model")
+tokenizer = AutoTokenizer.from_pretrained("AnanthanarayananSeetharaman/osa-custom-ner-model")
 
 # Create a pipeline
 ner_pipeline = pipeline("ner", model=model, tokenizer=tokenizer)