Replaced links from sgnlp to sgnlp-models

README.md

@@ -71,10 +71,10 @@ from sgnlp.models.coherence_momentum import CoherenceMomentumModel, CoherenceMom
 
 # Load Model
 config = CoherenceMomentumConfig.from_pretrained(
-    "https://storage.googleapis.com/sgnlp/models/coherence_momentum/config.json"
+    "https://storage.googleapis.com/sgnlp-models/models/coherence_momentum/config.json"
 )
 model = CoherenceMomentumModel.from_pretrained(
-    "https://storage.googleapis.com/sgnlp/models/coherence_momentum/pytorch_model.bin",
+    "https://storage.googleapis.com/sgnlp-models/models/coherence_momentum/pytorch_model.bin",
     config=config
 )
 
@@ -113,10 +113,10 @@ Please contact the authors to get the dataset if you have a valid LDC license.
 #### Training Results
 - **Training Time:** ~24 hours for ~46000 steps (batch size of 1) on a single A100 GPU
 - **Datasets:** Permuted dataset derived from Linguistic Data Consortium's (LDC) Wall Street Journal (WSJ) dataset.
-- **Training Config:** [link](https://storage.googleapis.com/sgnlp/models/coherence_momentum/config.json)
+- **Training Config:** [link](https://storage.googleapis.com/sgnlp-models/models/coherence_momentum/config.json)
 
 # Model Parameters
-- **Model Weights:** [link](https://storage.googleapis.com/sgnlp/models/coherence_momentum/pytorch_model.bin)
+- **Model Weights:** [link](https://storage.googleapis.com/sgnlp-models/models/coherence_momentum/pytorch_model.bin)
 - **Model Inputs:** A paragraph of text. During training, each positive example can be paired with one or more negative examples.
 - **Model Outputs:** Coherence score for the input text.
 - **Model Size:** ~930MB