Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_base_chinese_finetuning_financial_news_sentiment_test1_pipeline is a Chinese model originally trained by hw2942.
How to use
pipeline = PretrainedPipeline("bert_base_chinese_finetuning_financial_news_sentiment_test1_pipeline", lang = "zh")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bert_base_chinese_finetuning_financial_news_sentiment_test1_pipeline", lang = "zh")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bert_base_chinese_finetuning_financial_news_sentiment_test1_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | zh |
| Size: | 383.3 MB |
References
https://huggingface.co/hw2942/bert-base-chinese-finetuning-financial-news-sentiment-test1
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification