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README.md

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 Based on [this paper](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4622514), this is the EnvRoBERTa-base language model. A language model that is trained to better understand environmental texts in the ESG domain.
 
-*Note: We generally recommend choosing the [EnvDistilRoBERTa-base](https://huggingface.co/ESGBERT/EnvDistilRoBERTa-base) model since it is quicker, less resource-intensive and only marginally worse in performance.*
+*Note: We generally recommend choosing the [EnvironmentalBERT-base](https://huggingface.co/ESGBERT/EnvironmentalBERT-base) model since it is quicker, less resource-intensive and only marginally worse in performance.*
 
 Using the [RoBERTa](https://huggingface.co/roberta-base) model as a starting point, the EnvRoBERTa-base Language Model is additionally pre-trained on a text corpus comprising environmental-related annual reports, sustainability reports, and corporate and general news.