Update README.md

README.md

@@ -38,15 +38,15 @@ More precisely, inputs are sequences of continuous text of a certain length and
 
 This way, the model learns an inner representation of the English language that can then be used to extract features useful for downstream tasks. The model is best at what it was pretrained for however, which is generating texts from a prompt.
 
-## How to use GPT2-BioPT with HuggingFace (PyTorch)
-
+## How to use GPT2-BioPT with HuggingFace
 ```
 from transformers import pipeline
 
-chef = pipeline('text-generation',model=r"gpt2-bio-pt", tokenizer=r"gpt2-bio-pt",config={'max_length':800}, framwork="tf")
+chef = pipeline('text-generation',model="pucpr/gpt2-bio-pt", tokenizer="pucpr/gpt2-bio-pt",config={'max_length':800}, framwork="tf")
 
 result = chef('O paciente chegou no hospital')[0]['generated_text']
 print(result)
 ```
+
 ## Citation
-* soon *
+*soon*