Update README.md

README.md

@@ -44,12 +44,10 @@ inference:
 You can use this model directly with a pipeline for masked language modeling:
 
 ```python
-from transformers import pipeline
-# 1. load the model with the huggingface `pipeline`
-genius = pipeline("text2text-generation", model='beyond/genius-large', device=0)
-# 2. provide a sketch (joint by <mask> tokens)
-sketch = "<mask> Conference on Empirical Methods <mask> submission of research papers <mask> Deep Learning <mask>"
-# 3. here we go!
-generated_text = genius(sketch, num_beams=3, do_sample=True, max_length=200)[0]['generated_text']
-print(generated_text)
+from transformers import BertTokenizer, TFBertModel
+tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
+model = TFBertModel.from_pretrained("bert-base-uncased")
+text = "Replace me by any text you'd like."
+encoded_input = tokenizer(text, return_tensors='tf')
+output = model(encoded_input)
 ```