Update README.md

Update code section

README.md

@@ -34,26 +34,24 @@ We fine-tuned [google/byt5-small](https://huggingface.co/google/byt5-small) on a
 
 ```python
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
-from transformers.generation import GenerationConfig
+
 tokenizer = AutoTokenizer.from_pretrained("ybracke/transnormer-19c-beta-v02")
 model = AutoModelForSeq2SeqLM.from_pretrained("ybracke/transnormer-19c-beta-v02")
-gen_cfg = GenerationConfig.from_model_config(model.config)
-gen_cfg.max_new_tokens = 512
-sentence = ""
+sentence = "Die Königinn ſaß auf des Pallaſtes mittlerer Tribune."
 inputs = tokenizer(sentence, return_tensors="pt",)
-outputs = model.generate(**inputs, generation_config=gen_cfg)
+outputs = model.generate(**inputs, max_length=128)
 print(tokenizer.batch_decode(outputs, skip_special_tokens=True))
-# >>> ['']
+# >>> ['Die Königin saß auf des Palastes mittlerer Tribüne.']
 ```
 
-Here is how to use this model with the [pipeline API](https://huggingface.co/transformers/main_classes/pipelines.html):
+Or use this model with the [pipeline API](https://huggingface.co/transformers/main_classes/pipelines.html) like this:
 
 ```python
 from transformers import pipeline
 transnormer = pipeline('text2text-generation', model='ybracke/transnormer-19c-beta-v02')
-sentence = ""
+sentence = "Die Königinn ſaß auf des Pallaſtes mittlerer Tribune."
 print(transnormer(sentence))
-# >>> [{'generated_text': ''}]
+# >>> [{'generated_text': 'Die Königin saß auf des Palastes mittlerer Tribüne.'}]
 ```
 
 ## Intended uses & limitations