Text Classification
Transformers
English
financial-nlp
sentiment-analysis
topic-classification
multitask-learning
bert
financial-news
Instructions to use farhanage/MTL-FinancialNews-Topic-Sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use farhanage/MTL-FinancialNews-Topic-Sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="farhanage/MTL-FinancialNews-Topic-Sentiment")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("farhanage/MTL-FinancialNews-Topic-Sentiment", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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