Update README.md

README.md

@@ -25,12 +25,21 @@ category_mapping = {
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/645817bb72b60ae7a37f8f40/6gZDjcAOhWLvN5xF-E2FE.png)
 
 # Example usage
-model_name = "Hezam/arabic-T5-news-classification-generation"
-from transformers import T5ForConditionalGeneration, T5Tokenizer
+from transformers import T5ForConditionalGeneration, T5Tokenizer, pipeline
+from arabert.preprocess import ArabertPreprocessor
+
+arabert_prep = ArabertPreprocessor(model_name="aubmindlab/bert-base-arabertv2")
+model_name="Hezam/arabic-T5-news-classification-generation"
 model = T5ForConditionalGeneration.from_pretrained(model_name)
 tokenizer = T5Tokenizer.from_pretrained(model_name)
-input_text = " الاستاذ حزام جوبح يحصل على براعة اختراع في التعلم العميق"
+generation_pipeline = pipeline("text2text-generation",model=model,tokenizer=tokenizer)
 
-output_text = model.generate(input_text)
-print(generated_text)
+text = " الاستاذ حزام جوبح يحصل على براعة اختراع في التعلم العميق"
+text_clean = arabert_prep.preprocess(text)
+g=generation_pipeline(text_clean,
+                    num_beams=10,
+                    max_length=config.Generation_LEN,
+                    top_p=0.9,
+                    repetition_penalty = 3.0,
+                    no_repeat_ngram_size = 3)[0]["generated_text"]