Text Classification
Transformers
PyTorch
Safetensors
English
perceiver
financial-sentiment-analysis
sentiment-analysis
language-perceiver
Eval Results (legacy)
Instructions to use warwickai/fin-perceiver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use warwickai/fin-perceiver with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="warwickai/fin-perceiver")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("warwickai/fin-perceiver") model = AutoModelForSequenceClassification.from_pretrained("warwickai/fin-perceiver") - Notebooks
- Google Colab
- Kaggle
Tomás Fernandes commited on
Commit ·
42ecfee
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Parent(s): ba0bb53
Created a model card
Browse files
README.md
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---
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language: "en"
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tags:
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- financial-sentiment-analysis
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- sentiment-analysis
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- language-perceiver
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datasets:
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- financial_phrasebank
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widget:
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- text: "FTSE100 fell sharply today."
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- text: "Oil near one-month high."
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---
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# FINPerceiver
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FINPerceiver is a fine-tuned Perceiver IO language model for financial sentiment analysis.
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