tobischimanski commited on
Commit
5515c34
1 Parent(s): 49c5d12

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +1 -1
README.md CHANGED
@@ -14,7 +14,7 @@ tags:
14
 
15
  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.
16
 
17
- *Note: We generally recommend choosing the [EnvDistilRoBERTa-environmental](https://huggingface.co/ESGBERT/EnvDistilRoBERTa-environmental) model since it is quicker, less ressource-intensive and only marginally worse in performance.*
18
 
19
  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.
20
 
 
14
 
15
  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.
16
 
17
+ *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.*
18
 
19
  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.
20