# 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")Quick Links
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Check out the documentation for more information.
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.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Ayushb/roberta-base-ft-esg")