Update README.md

README.md

@@ -20,6 +20,7 @@ Output:
 
 - Python
   
+### Using .generate()
 ```python
 from transformers import GenerationConfig, T5ForConditionalGeneration, T5Tokenizer
 
@@ -29,11 +30,21 @@ model = T5ForConditionalGeneration.from_pretrained(model_name)
 tokenizer = T5Tokenizer.from_pretrained(model_name)
 generation_config = GenerationConfig.from_pretrained(model_name)
 
-tokenized_inputs = tokenizer(["triggers: I like this model and hate this sentence ."], return_tensors="pt")
+tokenized_inputs = tokenizer(["I like this model and hate this sentence ."], return_tensors="pt")
 outputs = model.generate(**tokenized_inputs, generation_config=generation_config)
 
-print(outputs)
+print(tokenizer.batch_decode(outputs, skip_special_tokens=True))
 
-# ["like | hate"]
+# ['like | hate']
+```
+
+### Using pipeline
+
+```python
+from transformers import pipeline
+srl = pipeline("ahmeshaf/ecb_tagger_seq2seq")
+print(srl(["I like this model and hate this sentence ."]))
+
+# [{'generated_text': 'like | hate'}]
 ```