Add fine-tuned EuroBERT for multiclass geopolitical classification
Browse files
README.md
CHANGED
|
@@ -27,7 +27,7 @@ Fine-tuned EuroBERT/EuroBERT-210m for detecting and categorizing geopolitical th
|
|
| 27 |
|
| 28 |
- **Task:** Sequence classification (single-label multiclass)
|
| 29 |
- **Labels:** 11 geopolitical topics
|
| 30 |
-
- **Intended use:** Topic categorization of news on geopolitical tensions
|
| 31 |
- **Languages:** English, German, French, Spanish, Italian
|
| 32 |
- **Framework:** 🤗 Transformers (PyTorch)
|
| 33 |
|
|
|
|
| 27 |
|
| 28 |
- **Task:** Sequence classification (single-label multiclass)
|
| 29 |
- **Labels:** 11 geopolitical topics
|
| 30 |
+
- **Intended use:** Topic categorization of news on geopolitical tensions (best performance on full article-level text)
|
| 31 |
- **Languages:** English, German, French, Spanish, Italian
|
| 32 |
- **Framework:** 🤗 Transformers (PyTorch)
|
| 33 |
|