Instructions to use Ayushb/roberta-base-ft-esg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayushb/roberta-base-ft-esg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Ayushb/roberta-base-ft-esg")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Ayushb/roberta-base-ft-esg") model = AutoModelForQuestionAnswering.from_pretrained("Ayushb/roberta-base-ft-esg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| # ESG Question Answering | |
| A NLP service to identify Emission Reduction Targets and Mechanisms of various companies from their ESG disclosure or Annual Reports. | |
| This Roberta-Base model has been finetuned on a very small sample (manually annotated). A lot of companies have clear mentions of targets & goals than methodologies which is why it can currently identify only targets & goals more precisely. | |
| ## Authors | |
| - [@Ayush Bhosle](https://www.github.com/Ayush1702) | |