Text Classification
Transformers
Safetensors
English
distilbert
ESG
Finance
sustainability
governance
social
environment
text-embeddings-inference
Instructions to use cea-list-ia/ESG-classification-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cea-list-ia/ESG-classification-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cea-list-ia/ESG-classification-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cea-list-ia/ESG-classification-en") model = AutoModelForSequenceClassification.from_pretrained("cea-list-ia/ESG-classification-en") - Inference
- Notebooks
- Google Colab
- Kaggle
Research Methodology
#1
by Half-Rogue - opened
Hello! I would like to kindly ask if there is an existing research paper or other kind of description where I can read about the methodology of topic identification? Specifically, why these specific 119 classes were derived and what were the steps/methods in order to do so. Thank you!