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valuesimplex-ai-lab/
FinBERT2-base

Name: FinBERT2-base
Rating: 2.5 (1569 reviews)

pytorch

bert

finance

hfl/chinese-roberta-wwm-ext

finetune

apache-2.0

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Model Details

Model Description: This is a finance-domain pretrained Chinese language model, which is based on the 125-million-parameter RoBERTa-Base and further pre-trained on 32B tokens of Chinese financial corpora (including a large number of research reports, news, and announcements).

Developed by: See valuesimplex for model developers
Model Type: Transformer-based language model
Language(s): Chinese
Parent Model: See the chinese-roberta for more information about the BERT base model.
Resources for more information:
- Research Paper
- GitHub Repo

Direct Use

python

from transformers import AutoModel, AutoTokenizer

model = AutoModel.from_pretrained("valuesimplex-ai-lab/FinBERT2-base")
tokenizer = AutoTokenizer.from_pretrained("valuesimplex-ai-lab/FinBERT2-base")

Further Usage

continual pre-training or fine-tuning：https://github.com/valuesimplex/FinBERT