EnvironmentalBERT-base huggingface.co api & ESGBERT EnvironmentalBERT-base github AI Model

Introduction of EnvironmentalBERT-base

Model Details of EnvironmentalBERT-base

Model Card for EnvironmentalBERT-base

Model Description

Based on this paper , this is the EnvironmentalBERT-base language model. A language model that is trained to better understand environmental texts in the ESG domain.

Using the DistilRoBERTa model as a starting point, the EnvironmentalBERT-base Language Model is additionally pre-trained on a text corpus comprising environmental-related annual reports, sustainability reports, and corporate and general news.

More details can be found in the paper

@article{Schimanski23ESGBERT,
    title={{Bridiging the Gap in ESG Measurement: Using NLP to Quantify Environmental, Social, and Governance Communication}},
    author={Tobias Schimanski and Andrin Reding and Nico Reding and Julia Bingler and Mathias Kraus and Markus Leippold},
    year={2023},
    journal={Available on SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4622514},
}

Runs of ESGBERT EnvironmentalBERT-base on huggingface.co

Total runs

24-hour runs

-2

3-day runs

-4

7-day runs

-14

30-day runs

More Information About EnvironmentalBERT-base huggingface.co Model

More EnvironmentalBERT-base license Visit here:

https://choosealicense.com/licenses/apache-2.0

EnvironmentalBERT-base huggingface.co

EnvironmentalBERT-base huggingface.co is an AI model on huggingface.co that provides EnvironmentalBERT-base's model effect (), which can be used instantly with this ESGBERT EnvironmentalBERT-base model. huggingface.co supports a free trial of the EnvironmentalBERT-base model, and also provides paid use of the EnvironmentalBERT-base. Support call EnvironmentalBERT-base model through api, including Node.js, Python, http.

EnvironmentalBERT-base huggingface.co Url

https://huggingface.co/ESGBERT/EnvironmentalBERT-base

ESGBERT EnvironmentalBERT-base online free

EnvironmentalBERT-base huggingface.co is an online trial and call api platform, which integrates EnvironmentalBERT-base's modeling effects, including api services, and provides a free online trial of EnvironmentalBERT-base, you can try EnvironmentalBERT-base online for free by clicking the link below.

ESGBERT EnvironmentalBERT-base online free url in huggingface.co:

https://huggingface.co/ESGBERT/EnvironmentalBERT-base

EnvironmentalBERT-base install

EnvironmentalBERT-base is an open source model from GitHub that offers a free installation service, and any user can find EnvironmentalBERT-base on GitHub to install. At the same time, huggingface.co provides the effect of EnvironmentalBERT-base install, users can directly use EnvironmentalBERT-base installed effect in huggingface.co for debugging and trial. It also supports api for free installation.