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--- |
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license: apache-2.0 |
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language: |
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- zh |
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base_model: |
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- hfl/chinese-roberta-wwm-ext |
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tags: |
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- finance |
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--- |
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## Model Details |
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**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). |
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- **Developed by:** See [valuesimplex](https://github.com/valuesimplex) for model developers |
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- **Model Type:** Transformer-based language model |
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- **Language(s):** Chinese |
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- **Parent Model:** See the [chinese-roberta](https://huggingface.co/hfl/chinese-roberta-wwm-ext) for more information about the BERT base model. |
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- **Resources for more information:** |
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- [Research Paper](https://dl.acm.org/doi/10.1145/3711896.3737219) |
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- [GitHub Repo](https://github.com/valuesimplex/FinBERT) |
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## Direct Use |
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```python |
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from transformers import AutoModel, AutoTokenizer |
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model = AutoModel.from_pretrained("valuesimplex-ai-lab/FinBERT2-base") |
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tokenizer = AutoTokenizer.from_pretrained("valuesimplex-ai-lab/FinBERT2-base") |
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``` |
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### Further Usage |
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continual pre-training or fine-tuning：https://github.com/valuesimplex/FinBERT |
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