Update README.md
Browse files
README.md
CHANGED
|
@@ -56,7 +56,7 @@ datasets:
|
|
| 56 |
# NEWS!
|
| 57 |
- 2025/8: Major model update +1 new language: **Swahili**! Also, general improvements accross all languages.
|
| 58 |
|
| 59 |
-
- 2025/8: Free API for our model! Please see below!
|
| 60 |
|
| 61 |
- 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.
|
| 62 |
It’s performing well across a range of benchmarks — in some cases improving accuracy by up to 48% over existing models like FinBERT.
|
|
@@ -66,7 +66,7 @@ You can check it out here on Hugging Face:
|
|
| 66 |
- 2024/12: We are excited to introduce a multilingual sentiment model! Now you can analyze sentiment across multiple languages, enhancing your global reach.
|
| 67 |
|
| 68 |
|
| 69 |
-
## 🔌 Hosted API
|
| 70 |
|
| 71 |
We provide a hosted inference API:
|
| 72 |
|
|
|
|
| 56 |
# NEWS!
|
| 57 |
- 2025/8: Major model update +1 new language: **Swahili**! Also, general improvements accross all languages.
|
| 58 |
|
| 59 |
+
- 2025/8: Free DEMO API for our model! Please see below!
|
| 60 |
|
| 61 |
- 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.
|
| 62 |
It’s performing well across a range of benchmarks — in some cases improving accuracy by up to 48% over existing models like FinBERT.
|
|
|
|
| 66 |
- 2024/12: We are excited to introduce a multilingual sentiment model! Now you can analyze sentiment across multiple languages, enhancing your global reach.
|
| 67 |
|
| 68 |
|
| 69 |
+
## 🔌 Hosted DEMO API
|
| 70 |
|
| 71 |
We provide a hosted inference API:
|
| 72 |
|