Fill-Mask
Transformers
Safetensors
English
bert
masked-language-modeling
mlm
finance
central-bank
financial-nlp
economic-policy
monetary-policy
BIS
speeches
BIS-Speeches
pretraining
domain-adaptation
financial-domain-adaptation
Instructions to use bilalzafar/CentralBank-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bilalzafar/CentralBank-BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bilalzafar/CentralBank-BERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bilalzafar/CentralBank-BERT") model = AutoModelForMaskedLM.from_pretrained("bilalzafar/CentralBank-BERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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