Text Classification
Transformers
PyTorch
TensorFlow
JAX
English
bert
financial-sentiment-analysis
sentiment-analysis
Instructions to use ProsusAI/finbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProsusAI/finbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ProsusAI/finbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ProsusAI/finbert") model = AutoModelForSequenceClassification.from_pretrained("ProsusAI/finbert") - Inference
- Notebooks
- Google Colab
- Kaggle
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README.md
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API Implementations
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- [Rapid API](https://rapidapi.com/financial-sentiment-financial-sentiment-default/api/finbert3/)
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API Implementations
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- [Multilingual Rapid API](https://rapidapi.com/financial-sentiment-financial-sentiment-default/api/finbert3/)
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