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@@ -92,13 +92,13 @@ The sketch which can be composed of:
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  ### How to use the model
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  #### 1. If you already have a sketch in mind, and want to get a paragraph based on it
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- ```
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  from transformers import pipeline
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- # 1. load the model with the huggingface pipeline
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  genius = pipeline("text2text-generation", model='beyond/genius-large', device=0)
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- # 2. provide a sketch (joint by <mask> tokens)
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  sketch = "<mask> Conference on Empirical Methods <mask> submission of research papers <mask> Deep Learning <mask>"
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- # 3. here we go!
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  generated_text = genius(sketch, num_beams=3, do_sample=True, max_length=200)[0]['generated_text']
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  print(generated_text)
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  ```
 
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  ### How to use the model
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  #### 1. If you already have a sketch in mind, and want to get a paragraph based on it
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+ ```python
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  from transformers import pipeline
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+ # 1.load the model with the huggingface pipeline
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  genius = pipeline("text2text-generation", model='beyond/genius-large', device=0)
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+ # 2.provide a sketch (joint by <mask> tokens)
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  sketch = "<mask> Conference on Empirical Methods <mask> submission of research papers <mask> Deep Learning <mask>"
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+ # 3.here we go!
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  generated_text = genius(sketch, num_beams=3, do_sample=True, max_length=200)[0]['generated_text']
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  print(generated_text)
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  ```