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
File size: 72 Bytes
59859a9 | 1 2 3 4 5 | ,bearish,neutral,bullish
bearish,0,72,0
neutral,0,13,0
bullish,0,1447,0
|