
# deberta-v3-base-financial-question-classification

Soon...
{"language": ["en"], "tags": ["deberta-v3-base", "text-classification", "natural-language-inference", "pipeline"], "datasets": ["nogae/financial_question_classification"], "pipeline_tag": "text-classification", "base_mode": "sileod/deberta-v3-base-tasksource-nli", "widget": [{"text": "Why did the company decide to enter the Latin America region?", "example_title": "Finance report analysis"}, {"text": "Compute the company's interest coverage ratio using EBIT and interest expense amounts", "example_title": "Finance calculation"}, {"text": "What is the Law of Diminishing Marginal Returns?", "example_title": "General finance"}, {"text": "Which country has won most soccer World Cup titles?", "example_title": "Neutral - #1"}, {"text": "Where are Netflix's headquarters located?", "example_title": "Neutral - #2"}]}
transformers pytorch deberta-v2 text-classification deberta-v3-base natural-language-inference pipeline en dataset:nogae/financial_question_classification autotrain_compatible endpoints_compatible region:us