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
Commit History
18 days ago
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Add TF weights (#2)
- Add TF weights (fc14d8717a3aba01439b3bc714a20ea700c6f345) Co-authored-by: Joao Gante <joaogante@users.noreply.huggingface.co>5ea63b3
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First version of finbert
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initial commit
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