Text Classification
Transformers
Safetensors
English
modernbert
financial-sentiment-analysis
sentiment-analysis
financial-news
finance
stocks
trading
finbert-alternative
sentiment
fintech
news
text-embeddings-inference
Instructions to use AnkitAI/FinSense-ModernBERT-Financial-News-Sentiment-Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnkitAI/FinSense-ModernBERT-Financial-News-Sentiment-Analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnkitAI/FinSense-ModernBERT-Financial-News-Sentiment-Analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnkitAI/FinSense-ModernBERT-Financial-News-Sentiment-Analysis") model = AutoModelForSequenceClassification.from_pretrained("AnkitAI/FinSense-ModernBERT-Financial-News-Sentiment-Analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "ProsusAI/finbert": { | |
| "accuracy": 0.8799171842650103, | |
| "macro_f1": 0.8760718217635312, | |
| "confusion": [ | |
| [ | |
| 60, | |
| 0, | |
| 0 | |
| ], | |
| [ | |
| 14, | |
| 240, | |
| 33 | |
| ], | |
| [ | |
| 2, | |
| 9, | |
| 125 | |
| ] | |
| ] | |
| }, | |
| "AnkitAI/distilbert-base-uncased-financial-news-sentiment-analysis": { | |
| "accuracy": 0.8322981366459627, | |
| "macro_f1": 0.8063650452813015, | |
| "confusion": [ | |
| [ | |
| 46, | |
| 8, | |
| 6 | |
| ], | |
| [ | |
| 10, | |
| 257, | |
| 20 | |
| ], | |
| [ | |
| 1, | |
| 36, | |
| 99 | |
| ] | |
| ] | |
| } | |
| } |