Text Classification
Transformers
PyTorch
English
bert
finance
sentiment analysis
regression
sentence bert
text-embeddings-inference
Instructions to use LHF/FinEAS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LHF/FinEAS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LHF/FinEAS")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LHF/FinEAS") model = AutoModelForSequenceClassification.from_pretrained("LHF/FinEAS") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 7066e99
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README.md
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## Citation
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```
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```
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## Citation
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```
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@misc{gutierrezfandino2021fineas,
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title={FinEAS: Financial Embedding Analysis of Sentiment},
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author={Asier Gutiérrez-Fandiño and Miquel Noguer i Alonso and Petter Kolm and Jordi Armengol-Estapé},
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year={2021},
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eprint={2111.00526},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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