Text Classification
Transformers
Safetensors
English
bert
financial-sentiment-analysis
sentiment-analysis
tariff
text-embeddings-inference
Instructions to use CristobalMe/TariffBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CristobalMe/TariffBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CristobalMe/TariffBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CristobalMe/TariffBERT") model = AutoModelForSequenceClassification.from_pretrained("CristobalMe/TariffBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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TariffBERT is a fine-tuned version of **ProsusAI/finbert** for **financial sentiment analysis** focused on *tariff and trade-policy news*.
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## Summary
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TariffBERT is a fine-tuned version of **ProsusAI/finbert** for **financial sentiment analysis** focused on *tariff and trade-policy news*.
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