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_test_sentiment.csv from kyLELEng/finimpact-direction1d-v4: direct link, hf CLI and curl.
- Browser
- Download file 73 Bytes
-
https://huggingface.co/kyLELEng/finimpact-direction1d-v4/resolve/main/confusion_matrix_test_sentiment.csv
- Command line
-
hf download hf://kyLELEng/finimpact-direction1d-v4/confusion_matrix_test_sentiment.csv
-
curl -L -o confusion_matrix_test_sentiment.csv https://huggingface.co/kyLELEng/finimpact-direction1d-v4/resolve/main/confusion_matrix_test_sentiment.csv
73 Bytes
| ,bearish,neutral,bullish | |
| bearish,0,110,0 | |
| neutral,0,15,0 | |
| bullish,0,1408,0 | |