update links from sgnlp to sgnlp-models

README.md

@@ -180,16 +180,16 @@ preprocessor = RstPreprocessor()
 postprocessor = RstPostprocessor()
 
 segmenter_config = RstPointerSegmenterConfig.from_pretrained(
-    'https://storage.googleapis.com/sgnlp/models/rst_pointer/segmenter/config.json')
+    'https://storage.googleapis.com/sgnlp-models/models/rst_pointer/segmenter/config.json')
 segmenter = RstPointerSegmenterModel.from_pretrained(
-    'https://storage.googleapis.com/sgnlp/models/rst_pointer/segmenter/pytorch_model.bin',
+    'https://storage.googleapis.com/sgnlp-models/models/rst_pointer/segmenter/pytorch_model.bin',
     config=segmenter_config)
 segmenter.eval()
 
 parser_config = RstPointerParserConfig.from_pretrained(
-    'https://storage.googleapis.com/sgnlp/models/rst_pointer/parser/config.json')
+    'https://storage.googleapis.com/sgnlp-models/models/rst_pointer/parser/config.json')
 parser = RstPointerParserModel.from_pretrained(
-    'https://storage.googleapis.com/sgnlp/models/rst_pointer/parser/pytorch_model.bin',
+    'https://storage.googleapis.com/sgnlp-models/models/rst_pointer/parser/pytorch_model.bin',
     config=parser_config)
 parser.eval()
 
@@ -217,15 +217,15 @@ trees = postprocessor(sentences=sentences, tokenized_sentences=tokenized_sentenc
 
 # Training
 The dataset (RST Discourse Treebank) that the model is trained on is a licensed dataset.
-- **Training Config:** [Segmenter](https://storage.googleapis.com/sgnlp/models/rst_pointer/segmenter/training_config.json) | [Parser](https://storage.googleapis.com/sgnlp/models/rst_pointer/parser/training_config.json)
+- **Training Config:** [Segmenter](https://storage.googleapis.com/sgnlp-models/models/rst_pointer/segmenter/training_config.json) | [Parser](https://storage.googleapis.com/sgnlp-models/models/rst_pointer/parser/training_config.json)
 
 #### Training Results
 - **Training Time (Segmenter):** ~2 hours for 100 epochs on a single V100 GPU for segmenter model.
 - **Training Time (Parser):** ~6 hours for 200 epochs on a single V100 GPU for parser model
 
 # Model Parameters
-- **Model Weights:** [Segmenter](https://storage.googleapis.com/sgnlp/models/rst_pointer/segmenter/pytorch_model.bin) | [Parser](https://storage.googleapis.com/sgnlp/models/rst_pointer/parser/pytorch_model.bin)
-- **Model Config:** [Segmenter](https://storage.googleapis.com/sgnlp/models/rst_pointer/segmenter/config.json) | [Parser](https://storage.googleapis.com/sgnlp/models/rst_pointer/parser/config.json)
+- **Model Weights:** [Segmenter](https://storage.googleapis.com/sgnlp-models/models/rst_pointer/segmenter/pytorch_model.bin) | [Parser](https://storage.googleapis.com/sgnlp-models/models/rst_pointer/parser/pytorch_model.bin)
+- **Model Config:** [Segmenter](https://storage.googleapis.com/sgnlp-models/models/rst_pointer/segmenter/config.json) | [Parser](https://storage.googleapis.com/sgnlp-models/models/rst_pointer/parser/config.json)
 - **Model Inputs:** A sentence.
 - **Model Outputs:** Discourse parsed tree.
 - **Model Size:** ~362MB for segmenter model, ~361MB for parser model