Update README.md

README.md

@@ -51,6 +51,7 @@ tags:
 
 
 # NEWS! 
+- 2025/8: API for our model! Please see below!
 
 - 2025/7: We’ve just released ModernFinBERT, a model we’ve been working on for a while. It’s built on the ModernBERT architecture and trained on a mix of real and synthetic data, with LLM-based label correction applied to public datasets to fix human annotation errors.
 It’s performing well across a range of benchmarks — in some cases improving accuracy by up to 48% over existing models like FinBERT.
@@ -59,6 +60,20 @@ You can check it out here on Hugging Face:
 
 - 2024/12: We are excited to introduce a multilingual sentiment model! Now you can analyze sentiment across multiple languages, enhancing your global reach.
 
+
+## 🔌 Hosted API
+
+We provide a hosted inference API:
+
+**Example request body:**
+
+```json
+curl -X POST https://api.tabularis.ai/ \
+     -H "Content-Type: application/json" \
+     -d '{"text":"I love the design","return_all_scores":false}'
+
+```
+
 ## Model Details
 - `Model Name:` tabularisai/multilingual-sentiment-analysis
 - `Base Model:` distilbert/distilbert-base-multilingual-cased
@@ -76,6 +91,7 @@ You can check it out here on Hugging Face:
 
 > If you wish to use this model for commercial purposes, please obtain a license by contacting: info@tabularis.ai
 
+
 ## Model Description
 
 This model is a fine-tuned version of `distilbert/distilbert-base-multilingual-cased` for multilingual sentiment analysis. It leverages synthetic data from multiple sources to achieve robust performance across different languages and cultural contexts.