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- # FinanceSentimentPL-fast
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- FinanceSentimentPL-fast is a [distiluse](https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased-v1)-based model for analyzing sentiment of Polish financial news. It was trained on the translated version of [Financial PhraseBank](https://www.researchgate.net/publication/251231107_Good_Debt_or_Bad_Debt_Detecting_Semantic_Orientations_in_Economic_Texts) by Malo et al. (20014) for 10 epochs on single RTX3090 gpu.
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  The model will give you a three labels: positive, negative and neutral.
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  ```python
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  from transformers import pipeline
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- nlp = pipeline("sentiment-analysis", model="bardsai/FinanceSentimentPL-fast")
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  nlp("Sprzedaż netto wzrosła o 30% do 36 mln EUR.")
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  ```
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  ```bash
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  (The performance was evaluated on RTX 3090 gpu)
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  ## Changelog
 
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  - 2022-11-15: Initial release
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  ## About bards.ai
 
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+ # Finance Sentiment PL (fast)
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+ Finance Sentiment PL (fast) is a [distiluse](https://huggingface.co/sentence-transformers/distiluse-base-multilingual-cased-v1)-based model for analyzing sentiment of Polish financial news. It was trained on the translated version of [Financial PhraseBank](https://www.researchgate.net/publication/251231107_Good_Debt_or_Bad_Debt_Detecting_Semantic_Orientations_in_Economic_Texts) by Malo et al. (20014) for 10 epochs on single RTX3090 gpu.
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  The model will give you a three labels: positive, negative and neutral.
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  ```python
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  from transformers import pipeline
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+ nlp = pipeline("sentiment-analysis", model="bardsai/finance-sentiment-pl-fast")
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  nlp("Sprzedaż netto wzrosła o 30% do 36 mln EUR.")
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  ```
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  ```bash
 
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  (The performance was evaluated on RTX 3090 gpu)
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  ## Changelog
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+ - 2022-12-01: Rename the model to finance-sentiment-pl-base
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  - 2022-11-15: Initial release
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  ## About bards.ai