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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kyLELEng/finimpact-direction1d-v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download confusion_matrix_validation_volatility.csv from kyLELEng/finimpact-direction1d-v4: direct link, hf CLI and curl.
- Browser
- Download file 89 Bytes
-
https://huggingface.co/kyLELEng/finimpact-direction1d-v4/resolve/main/confusion_matrix_validation_volatility.csv
- Command line
-
hf download hf://kyLELEng/finimpact-direction1d-v4/confusion_matrix_validation_volatility.csv
-
curl -L -o confusion_matrix_validation_volatility.csv https://huggingface.co/kyLELEng/finimpact-direction1d-v4/resolve/main/confusion_matrix_validation_volatility.csv
89 Bytes
| ,lower_vol,normal_vol,higher_vol | |
| lower_vol,0,535,0 | |
| normal_vol,0,642,0 | |
| higher_vol,0,355,0 | |