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
Download EconBERT_Model/econbert_weights/tokenizer.json from climatebert/econbert: direct link, hf CLI and curl.
- Browser
- Download file 2.22 MB
-
https://huggingface.co/climatebert/econbert/resolve/main/EconBERT_Model/econbert_weights/tokenizer.json
- Command line
-
hf download hf://climatebert/econbert/EconBERT_Model/econbert_weights/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/climatebert/econbert/resolve/main/EconBERT_Model/econbert_weights/tokenizer.json
2.22 MB
File too large to display, you can check the raw version instead.