| | --- |
| | language: en |
| | license: mit |
| | tags: |
| | - text-classification |
| | - finance |
| | - sentiment-analysis |
| | datasets: |
| | - financial_sentiment |
| | metrics: |
| | - accuracy |
| | pipeline_tag: text-classification |
| | --- |
| | |
| | # FinTinyBERT - Financial Sentiment Analysis Model |
| |
|
| | This model performs sentiment analysis on financial texts, classifying them as positive, negative, or neutral. |
| |
|
| | ## Usage |
| |
|
| | ```python |
| | from transformers import pipeline |
| | |
| | classifier = pipeline("text-classification", model="Sergiu2404/fin_tinybert") |
| | result = classifier("Company profits are rising.") |
| | print(result) |
| | |
