Instructions to use yusufizzetmurat/fed-pulse-trajectory with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yusufizzetmurat/fed-pulse-trajectory with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yusufizzetmurat/fed-pulse-trajectory", dtype="auto") - Notebooks
- Google Colab
- Kaggle
yusufizzetmurat/fed-pulse-trajectory
Artefact for the fed-pulse FOMC text analytics project.
- Source code: https://github.com/yusufizzetmurat/fed-pulse
- Live demo: https://fedpulse.yusufizzetmurat.com
- License:
mit
Training corpus
Sequence-of-meetings model bundle: LSTM and Transformer checkpoints plus 2D embeddings and manifest. Predicts the next meeting's stance from the prior statement embeddings.
Training command
python -m app.trajectory.train --architecture lstm
Attribution
- FOMC text: scraped from the Board of Governors of the Federal Reserve System (US-government public domain), with supervised labels merged from gtfintechlab/fomc_communication.
- Encoder backbone:
yusufizzetmurat/fed-pulse-encoder.
Inference Providers NEW
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