Instructions to use ChristBERT/sciGNAD_tcls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChristBERT/sciGNAD_tcls with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ChristBERT/sciGNAD_tcls")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ChristBERT/sciGNAD_tcls", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -104,13 +104,15 @@ If you use this model, please cite:
|
|
| 104 |
year={2026}
|
| 105 |
}
|
| 106 |
|
| 107 |
-
@
|
| 108 |
-
|
| 109 |
-
|
| 110 |
-
|
| 111 |
-
|
| 112 |
-
|
| 113 |
-
|
| 114 |
-
|
|
|
|
|
|
|
| 115 |
}
|
| 116 |
```
|
|
|
|
| 104 |
year={2026}
|
| 105 |
}
|
| 106 |
|
| 107 |
+
@article{he_word_2026,
|
| 108 |
+
author = {He, Henry and Frei, Johann and Schmitt, Raphael},
|
| 109 |
+
title = {The Word and the Way: Strategies for Domain-Specific {BERT} Pre-Training in {German} Medical {NLP}},
|
| 110 |
+
journal = {BMC Medical Informatics and Decision Making},
|
| 111 |
+
year = {2026},
|
| 112 |
+
volume = {26},
|
| 113 |
+
article-number = {296},
|
| 114 |
+
doi = {10.1186/s12911-026-03728-2},
|
| 115 |
+
url = {https://doi.org/10.1186/s12911-026-03728-2},
|
| 116 |
+
issn = {1472-6947}
|
| 117 |
}
|
| 118 |
```
|