Text Classification
Transformers
Safetensors
finance
sentiment-analysis
market-impact
gated-fusion
multitask-learning
event-study
Instructions to use kyLELEng/finimpact-direction1d-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kyLELEng/finimpact-direction1d-v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kyLELEng/finimpact-direction1d-v4")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kyLELEng/finimpact-direction1d-v4", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "sentiment": [ | |
| "bearish", | |
| "neutral", | |
| "bullish" | |
| ], | |
| "direction_1d": [ | |
| "bearish", | |
| "neutral", | |
| "bullish" | |
| ], | |
| "direction_5d": [ | |
| "bearish", | |
| "neutral", | |
| "bullish" | |
| ], | |
| "volatility": [ | |
| "lower_vol", | |
| "normal_vol", | |
| "higher_vol" | |
| ] | |
| } |