Update README.md

README.md

@@ -10,11 +10,11 @@ model-index:
 
 # Question Answering Generative
 The model is intended to be used for Q&A task, given the question & context, the model would attempt to infer the answer text.<br>
-Model is generative (t5-v1-base), fine-tuned from [question-generation-auto-hints-t5-v1-base-s-q-c](https://huggingface.co/anshoomehra/question-generation-auto-hints-t5-v1-base-s-q-c) with - **Loss:** 0.6751 & **Rougel:** 0.8022 performance scores.
+Model is generative (t5-v1-base), fine-tuned from [question-generation-auto-hints-t5-v1-base-s-q-c](https://huggingface.co/consciousAI/question-generation-auto-hints-t5-v1-base-s-q-c) with - **Loss:** 0.6751 & **Rougel:** 0.8022 performance scores.
 
-[Live Demo: Question Answering Encoders vs Generative](https://huggingface.co/spaces/anshoomehra/question_answering)
+[Live Demo: Question Answering Encoders vs Generative](https://huggingface.co/spaces/consciousAI/question_answering)
 
-[Encoder based Question Answering](https://huggingface.co/anshoomehra/question-answering-roberta-base-s/)
+[Encoder based Question Answering](https://huggingface.co/consciousAI/question-answering-roberta-base-s/)
 
 Example code:
 
@@ -44,7 +44,7 @@ def _generate(query, context, model, device):
     return str(output[0])
 
 device = [0 if torch.cuda.is_available() else 'cpu'][0]
-_generate(query, context, model="anshoomehra/t5-v1-base-s-q-c-multi-task-qgen-v2", device=device)   
+_generate(query, context, model="consciousAI/t5-v1-base-s-q-c-multi-task-qgen-v2", device=device)   
 ```
 
 ### Training hyperparameters