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: 380 Bytes
59859a9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"sentiment": [
0.3636363744735718,
2.2727272510528564,
0.3636363744735718
],
"direction_1d": [
0.9880715608596802,
0.9986989498138428,
1.013229489326477
],
"direction_5d": [
1.2122101783752441,
0.5105218887329102,
1.2772679328918457
],
"volatility": [
1.0096524953842163,
1.0141775608062744,
0.9761698842048645
]
} |