Instructions to use classla/bcms-bertic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use classla/bcms-bertic with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("classla/bcms-bertic") model = AutoModelForPreTraining.from_pretrained("classla/bcms-bertic") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -15,7 +15,7 @@ license: apache-2.0
|
|
| 15 |
|
| 16 |
This Electra model was trained on more than 8 billion tokens of Bosnian, Croatian, Montenegrin and Serbian text.
|
| 17 |
|
| 18 |
-
***new*** We have published a version of this model fine-tuned on the named entity recognition task ([bcms-bertic-ner](https://huggingface.co/classla/bcms-bertic-ner)).
|
| 19 |
|
| 20 |
If you use the model, please cite the following paper:
|
| 21 |
|
|
|
|
| 15 |
|
| 16 |
This Electra model was trained on more than 8 billion tokens of Bosnian, Croatian, Montenegrin and Serbian text.
|
| 17 |
|
| 18 |
+
***new*** We have published a version of this model fine-tuned on the named entity recognition task ([bcms-bertic-ner](https://huggingface.co/classla/bcms-bertic-ner)) and on the hate speech detection task ([bcms-bertic-frenk-hate](https://huggingface.co/classla/bcms-bertic-frenk-hate)).
|
| 19 |
|
| 20 |
If you use the model, please cite the following paper:
|
| 21 |
|