Update README.md

README.md

@@ -7,9 +7,7 @@ language:
 library_name: transformers
 pipeline_tag: text-classification
 ---
-Creating a model card for your fine-tuned BERT model on Hugging Face involves clearly documenting the purpose, datasets, usage, and other relevant information. Below is an example template for your model card:
 
----
 
 ## **Model Overview**
 This model is a fine-tuned version of BERT designed to classify SMS messages as either spam or not spam. It was developed as part of a technical test for the startup **IntiGo**.
@@ -44,7 +42,7 @@ You can use this model to classify SMS messages into spam or not spam. The model
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 
 # Load the model and tokenizer
-model_name = "your-model-name"
+model_name = "Amenallah2001/intigo-technical-test"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForSequenceClassification.from_pretrained(model_name)