Update README.md

README.md

@@ -7,7 +7,7 @@ This model is a fine-tuned version of the Longformer base model for sentiment an
 - Model Type: Longformer
 - Task: Sentiment Analysis
 - Training Data: 4000 customer support tickets (Approx 1000 for each class)
-- Number of Parameters: {num_params}
+- Number of Parameters: 149M
 
 ## Performance
 - Overall Accuracy: 74.84%
@@ -32,6 +32,7 @@ weighted avg       0.76      0.75      0.73       477
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 import torch
 
+hf_model_name= 'Muddassar/longformer-base-sentiment-5-classes'
 model = AutoModelForSequenceClassification.from_pretrained("{hf_model_name}")
 tokenizer = AutoTokenizer.from_pretrained("{hf_model_name}")
 
@@ -48,4 +49,4 @@ print(f"Predicted sentiment: {sentiment_map[prediction]}")
 
 
 ## License
-[Specify the license for your model]
+MIT