Transformers
PyTorch
Safetensors
English
t5
text2text-generation
finbert
financial-sentiment-analysis
sentiment-analysis
text-generation-inference
Instructions to use amphora/FinABSA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amphora/FinABSA with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("amphora/FinABSA") model = AutoModelForSeq2SeqLM.from_pretrained("amphora/FinABSA") - Notebooks
- Google Colab
- Kaggle
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- text: " Chinese stocks’ plunge on Monday over fears about China’s new leadership team may be misguided, consulting firm Teneo said. Chinese stocks in Hong Kong and New York, especially internet tech giants such as [TGT], dropped on the first trading day after Chinese President Xi Jinping cemented his firm grip on power with a new core leadership team filled with his loyalists."
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- text: " Chinese stocks’ plunge on Monday over fears about China’s new leadership team may be misguided, consulting firm Teneo said. Chinese stocks in Hong Kong and New York, especially internet tech giants such as [TGT], dropped on the first trading day after Chinese President Xi Jinping cemented his firm grip on power with a new core leadership team filled with his loyalists."
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- text: "[TGT] stocks dropped 42% while Samsung rallied."
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- text: "Tesla stocks dropped 42% while [TGT] rallied."
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