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finroberta

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roberta
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@@ -13,7 +13,7 @@ tokenizer = AutoTokenizer.from_pretrained('roberta-large')
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  model = RobertaForSequenceClassification.from_pretarined('Chaitanya14/finroberta')
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  ```
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  ## Citation
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- If you use the FinBloom 7B LLM, please cite with the following BibTex entry:
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  ```
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  @misc{sinha2025finbloomknowledgegroundinglarge,
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  title={FinBloom: Knowledge Grounding Large Language Model with Real-time Financial Data},
 
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  model = RobertaForSequenceClassification.from_pretarined('Chaitanya14/finroberta')
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  ```
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  ## Citation
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+ If you use the FinRoberta model, please cite with the following BibTex entry:
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  ```
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  @misc{sinha2025finbloomknowledgegroundinglarge,
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  title={FinBloom: Knowledge Grounding Large Language Model with Real-time Financial Data},