Fill-Mask
Transformers
English
economics
finance
bert
language-model
financial-nlp
economic-analysis
Instructions to use climatebert/econbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use climatebert/econbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="climatebert/econbert")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("climatebert/econbert", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Usage help: econ classification & sentiment analysis
#1
by Ken-MY - opened
I came across this model and it looks super interesting, especially for economic text classification and sentiment analysis. But I couldn’t find much in the way of documentation or usage examples.
Could you help out with:
How to properly download and load the model?
Any sample code for running classification or sentiment analysis on economic/financial texts?
Any tips on input formatting or preprocessing?
Would really appreciate any pointers or examples—thanks in advance!