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")# 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
Download .gitattributes from ProsusAI/finbert: direct link, hf CLI and curl.
- Browser
- Download file 391 Bytes
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https://huggingface.co/ProsusAI/finbert/resolve/main/.gitattributes
- Command line
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hf download hf://ProsusAI/finbert/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/ProsusAI/finbert/resolve/main/.gitattributes
391 Bytes
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