Text Classification
Transformers
PyTorch
TensorFlow
JAX
Safetensors
English
bert
financial-sentiment-analysis
sentiment-analysis
finance
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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ProsusAI/finbert") model = AutoModelForSequenceClassification.from_pretrained("ProsusAI/finbert", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Add copyright holder notice
Browse files
README.md
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## 📜 License and Usage Terms
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### Model Weights License
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The FinBERT model weights are made available under **CC BY-NC-SA 4.0**
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(Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International).
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## 📜 License and Usage Terms
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**Copyright © MIH AI B.V.**
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### Model Weights License
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The FinBERT model weights are made available under **CC BY-NC-SA 4.0**
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(Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International).
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