Text Classification
Transformers
Safetensors
English
bert
Generated from Trainer
economics
finance
text-embeddings-inference
Instructions to use samchain/EconoDetect-US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samchain/EconoDetect-US with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="samchain/EconoDetect-US")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("samchain/EconoDetect-US") model = AutoModelForSequenceClassification.from_pretrained("samchain/EconoDetect-US") - Notebooks
- Google Colab
- Kaggle
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## Model description
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This model is designed to detect whether a text discusses topics related to
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## Intended uses & limitations
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The model can be used as a screening tool to remove texts that are not
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The dataset used for the training is strongly focused on US economy, hence a bias might occur as other regions are under represented.
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## Training and evaluation data
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## Model description
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This model is designed to detect whether a text discusses topics related to the US economy.
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## Intended uses & limitations
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The model can be used as a screening tool to remove texts that are not discussing US economy.
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## Training and evaluation data
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