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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32d1199569105ac715a379c14346c688162bca3a76c111d046209df7ef7931be
- Size of remote file:
- 331 MB
- SHA256:
- b26814dbb71de1b64d447b425af55bdeb83a30e1977b42770aa226582e39ec62
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