Text Classification
Transformers
Safetensors
English
roberta
financial-nlp
financial-sentiment-analysis
sentiment-analysis
finance
stock-market-sentiment
investment-research
financial-text-classification
enterprise
zettaquant
text-embeddings-inference
Instructions to use zettaquant/financial-sentiment-general with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zettaquant/financial-sentiment-general with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zettaquant/financial-sentiment-general")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zettaquant/financial-sentiment-general", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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