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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-environmental language model. A language model that is trained to better classify environmental texts in the ESG domain.
 
-*Note: We generally recommend choosing the [EnvDistilRoBERTa-environmental](https://huggingface.co/ESGBERT/EnvDistilRoBERTa-environmental) model since it is quicker, less resource-intensive and only marginally worse in performance.*
+*Note: We generally recommend choosing the [EnvironmentalBERT-environmental](https://huggingface.co/ESGBERT/EnvironmentalBERT-environmental) model since it is quicker, less resource-intensive and only marginally worse in performance.*
 
 Using the [EnvRoBERTa-base](https://huggingface.co/ESGBERT/EnvRoBERTa-base) model as a starting point, the EnvRoBERTa-environmental Language Model is additionally fine-trained on a 2k environmental dataset to detect environmental text samples.