Instructions to use ESGBERT/GovernanceBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ESGBERT/GovernanceBERT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ESGBERT/GovernanceBERT-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ESGBERT/GovernanceBERT-base") model = AutoModelForMaskedLM.from_pretrained("ESGBERT/GovernanceBERT-base") - Notebooks
- Google Colab
- Kaggle
Commit ·
5a5dd7d
1
Parent(s): 8c5b703
Update README.md
Browse files
README.md
CHANGED
|
@@ -6,13 +6,13 @@ tags:
|
|
| 6 |
- governance
|
| 7 |
---
|
| 8 |
|
| 9 |
-
# Model Card for
|
| 10 |
|
| 11 |
## Model Description
|
| 12 |
|
| 13 |
-
Based on [this paper](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4622514), this is the
|
| 14 |
|
| 15 |
-
Using the [DistilRoBERTa](https://huggingface.co/distilroberta-base) model as a starting point, the
|
| 16 |
|
| 17 |
## More details can be found in the paper
|
| 18 |
```bibtex
|
|
|
|
| 6 |
- governance
|
| 7 |
---
|
| 8 |
|
| 9 |
+
# Model Card for GovernanceBERT-base
|
| 10 |
|
| 11 |
## Model Description
|
| 12 |
|
| 13 |
+
Based on [this paper](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4622514), this is the GovernanceBERT-base language model. A language model that is trained to better understand governance texts in the ESG domain.
|
| 14 |
|
| 15 |
+
Using the [DistilRoBERTa](https://huggingface.co/distilroberta-base) model as a starting point, the GovernanceBERT-base Language Model is additionally pre-trained on a text corpus comprising governance-related annual reports, sustainability reports, and corporate and general news.
|
| 16 |
|
| 17 |
## More details can be found in the paper
|
| 18 |
```bibtex
|