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
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README.md
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year={2026}
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}
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@misc{
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url = {https://www.researchsquare.com/article/rs-7332811/v1},
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urldate = {2025-09-23},
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note = {ISSN: 2693-5015}
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}
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```
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year={2026}
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}
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@misc{he2026wordwaystrategiesdomainspecific,
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title={The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP},
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author={Henry He and Johann Frei and Raphael Schmitt},
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year={2026},
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eprint={2606.03250},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2606.03250},
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}
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```
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