Update README.md

README.md

@@ -26,3 +26,27 @@ widget:
     к своей мечте.
 example_title: Summarization Example 1
 ---
+
+Russian text summarizer was fine-tuned from ai-forever/ruT5-base model and trained on ~60k rows samples' dataset. 
+
+Example Usage: 
+
+```python
+model_name = "sarahai/ruT5-base-summarizer"  
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+
+device = torch.device("cpu") #if you are using cpu
+
+input_text = "текст на русском" #your input in russian
+input_ids = tokenizer(input_text, return_tensors="pt").input_ids.to(device)
+outputs = model.generate(input_ids, max_length=100, min_length=50, length_penalty=2.0, num_beams=4, early_stopping=True) #change according to your preferences
+summary = tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+print(summary)
+```
+
+References
+Hugging Face Model Hub
+T5 Paper
+Disclaimer: The model's performance may be influenced by the quality and representativeness of the data it was fine-tuned on. Users are encouraged to assess the model's suitability for their specific applications and datasets.