Update README.md

README.md

@@ -11,7 +11,9 @@ tags:
 - text-classification
 - industry tags
 - buisiness description
-liscence: "mit" 
+- multi label classification
+liscence: "mit"
+inference: false
 ---
 
 # distilbert-business-domain-classification
@@ -26,8 +28,8 @@ Trained on 7000 samples of Business Descriptions and associated labels of compan
 ```python
 from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
 
-tokenizer = AutoTokenizer.from_pretrained("sampathkethineedi/distilbert-business-domain-classification")  
-model = AutoModelForSequenceClassification.from_pretrained("distilbert-business-domain-classification")
+tokenizer = AutoTokenizer.from_pretrained("sampathkethineedi/industry-classification")  
+model = AutoModelForSequenceClassification.from_pretrained("industry-classification")
 
 industry_tags = pipeline('sentiment-analysis', model=model, tokenizer=tokenizer)