Update README.md

README.md

@@ -8,13 +8,13 @@ tags:
 - governance
 ---
 
-# Model Card for GovDistilRoBERTa-governance
+# Model Card for GovernanceBERT-governance
 
 ## Model Description
 
 Based on [this paper](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4622514), this is the GovDistilRoBERTa-governance language model. A language model that is trained to better classify governance texts in the ESG domain.
 
-Using the [GovDistilRoBERTa-base](https://huggingface.co/ESGBERT/GovDistilRoBERTa-base) model as a starting point, the GovDistilRoBERTa-governance Language Model is additionally fine-trained on a 2k governance dataset to detect governance text samples.
+Using the [GovernanceBERT-base](https://huggingface.co/ESGBERT/GovernanceBERT-base) model as a starting point, the GovDistilRoBERTa-governance Language Model is additionally fine-trained on a 2k governance dataset to detect governance text samples.
 
 ## How to Get Started With the Model
 You can use the model with a pipeline for text classification:
@@ -23,8 +23,8 @@ You can use the model with a pipeline for text classification:
 from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
 import datasets
  
-tokenizer_name = "ESGBERT/GovDistilRoBERTa-governance"
-model_name = "ESGBERT/GovDistilRoBERTa-governance"
+tokenizer_name = "ESGBERT/GovernanceBERT-governance"
+model_name = "ESGBERT/GovernanceBERT-governance"
  
 model = AutoModelForSequenceClassification.from_pretrained(model_name)
 tokenizer = AutoTokenizer.from_pretrained(tokenizer_name, max_len=512)