Update README.md (#7444)

Hi, just corrected the example code, add 2 links and fixed some typos

model_cards/unideeplearning/polibert_sa/README.md

@@ -12,15 +12,22 @@ widget:
   
 ## Model description  
   
-This model performs sentiment analysis on Italian political twitter sentences. It was trained starting from an instance of "bert-base-italian-uncased-xxl" and fine-tuned on an Italian dataset of tweets.
+This model performs sentiment analysis on Italian political twitter sentences. It was trained starting from an instance of "bert-base-italian-uncased-xxl" and fine-tuned on an Italian dataset of tweets. You can try it out at https://www.unideeplearning.com/twitter_sa/ (in italian!)
   
 #### Hands-on  
   
 ```python
 import torch
 from torch import nn 
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
 
-text = "Giueseppe Rossi è un pessimo politico"
+tokenizer = AutoTokenizer.from_pretrained("unideeplearning/polibert_sa")
+model = AutoModelForSequenceClassification.from_pretrained("unideeplearning/polibert_sa")
+			
+
+
+
+text = "Giuseppe Rossi è un pessimo politico"
 input_ids = tokenizer.encode(text, add_special_tokens=True, return_tensors= 'pt')
 
 logits, = model(input_ids)
@@ -41,4 +48,6 @@ print(prob.argmax().tolist())
 ## Acknowledgments
 
 Thanks to the support from: 
-the [Hugging Face](https://huggingface.co/), Unione Professionisti (https://www.unioneprofessionisti.com/)
+the [Hugging Face](https://huggingface.co/), https://www.unioneprofessionisti.com
+
+https://www.unideeplearning.com/