update links from sgnlp to sgnlp-models

README.md

@@ -72,8 +72,8 @@ The train and evaluation datasets were derived from the Twitter15, Twitter16 and
 - **Training Time:** ~6 hours on a single V100 GPU.
 
 # Model Parameters
-- **Model Weights:** [link](https://storage.googleapis.com/sgnlp/models/rumour_detection_twitter/pytorch_model.bin)
-- **Model Config:** [link](https://storage.googleapis.com/sgnlp/models/rumour_detection_twitter/config.json)
+- **Model Weights:** [link](https://storage.googleapis.com/sgnlp-models/models/rumour_detection_twitter/pytorch_model.bin)
+- **Model Config:** [link](https://storage.googleapis.com/sgnlp-models/models/rumour_detection_twitter/config.json)
 - **Model Inputs:** Thread of tweets. The first tweet should be the target tweet.
 - **Model Outputs:** Array of logits for each class (True, False, Unverified, Non-Rumour). This can be converted into probabilities using the softmax function.
 - **Model Size:** ~60mb