Task
Text Classification
F
yiyanghkust/finbert-tone
Text Classification·yiyanghkust· 747.1K· 220
FinBERT is a BERT model pre-trained on financial communication text. The purpose is to enhance financial NLP research and practice. It is trained on the following three financial communication corpus. The total corpora size is 4.9B tokens. - Corporate Reports 10-K & 10-Q: 2.5B tokens - Earnings Call Transcripts: 1.3B tokens - Analyst Reports: 1.1B tokens
# pull & run locally
pip install mlforge-sdk && mlforge pull yiyanghkust/finbert-tone
pip install mlforge-sdk && mlforge pull yiyanghkust/finbert-tone
Model details
Provider
yiyanghkust
Framework
transformers
Size
2.0 GB
Downloads
747.1K
Likes
220
Updated
2022-10-17
About yiyanghkust/finbert-tone
FinBERT is a BERT model pre-trained on financial communication text. The purpose is to enhance financial NLP research and practice. It is trained on the following three financial communication corpus. The total corpora size is 4.9B tokens. - Corporate Reports 10-K & 10-Q: 2.5B tokens - Earnings Call Transcripts: 1.3B tokens - Analyst Reports: 1.1B tokens
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