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Update README.md (#7444)

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Hi, just corrected the example code, add 2 links and fixed some typos
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model_cards/unideeplearning/polibert_sa/README.md
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@ -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/