Task
Text Classification
F
ahmedrachid/FinancialBERT-Sentiment-Analysis
Text Classification·ahmedrachid· 49.4K· 97
FinancialBERT is a BERT model pre-trained on a large corpora of financial texts. The purpose is to enhance financial NLP research and practice in financial domain, hoping that financial practitioners and researchers can benefit from this model without the necessity of the significant computational resources required to train the model.
# pull & run locally
pip install mlforge-sdk && mlforge pull ahmedrachid/FinancialBERT-Sentiment-Analysis
pip install mlforge-sdk && mlforge pull ahmedrachid/FinancialBERT-Sentiment-Analysis
Model details
Provider
ahmedrachid
Framework
transformers
Size
837 MB
Downloads
49.4K
Likes
97
Updated
2022-02-07
About ahmedrachid/FinancialBERT-Sentiment-Analysis
FinancialBERT is a BERT model pre-trained on a large corpora of financial texts. The purpose is to enhance financial NLP research and practice in financial domain, hoping that financial practitioners and researchers can benefit from this model without the necessity of the significant computational resources required to train the model.
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