Text Classification
Transformers
Safetensors
English
bert
finance
cbdc
central-bank
financial-nlp
economic-policy
monetary-policy
sentence-classification
discourse-analysis
policy-analysis
centralbank-bert
bis-speeches
text-embeddings-inference
Instructions to use bilalzafar/CBDC-Discourse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bilalzafar/CBDC-Discourse with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bilalzafar/CBDC-Discourse")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bilalzafar/CBDC-Discourse") model = AutoModelForSequenceClassification.from_pretrained("bilalzafar/CBDC-Discourse", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
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