Instructions to use COGNANO/VHHBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use COGNANO/VHHBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="COGNANO/VHHBERT", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("COGNANO/VHHBERT") model = AutoModelForMaskedLM.from_pretrained("COGNANO/VHHBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update bibtex citation
Browse files
README.md
CHANGED
|
@@ -37,10 +37,10 @@ model = RobertaModel.from_pretrained("COGNANO/VHHBERT")
|
|
| 37 |
If you use VHHBERT in your research, please cite the following paper.
|
| 38 |
|
| 39 |
```bibtex
|
| 40 |
-
@
|
| 41 |
title={A {SARS}-{C}o{V}-2 Interaction Dataset and {VHH} Sequence Corpus for Antibody Language Models},
|
| 42 |
author={Hirofumi Tsuruta and Hiroyuki Yamazaki and Ryota Maeda and Ryotaro Tamura and Akihiro Imura},
|
| 43 |
-
|
| 44 |
year={2024}
|
| 45 |
}
|
| 46 |
```
|
|
|
|
| 37 |
If you use VHHBERT in your research, please cite the following paper.
|
| 38 |
|
| 39 |
```bibtex
|
| 40 |
+
@inproceedings{tsuruta2024sars,
|
| 41 |
title={A {SARS}-{C}o{V}-2 Interaction Dataset and {VHH} Sequence Corpus for Antibody Language Models},
|
| 42 |
author={Hirofumi Tsuruta and Hiroyuki Yamazaki and Ryota Maeda and Ryotaro Tamura and Akihiro Imura},
|
| 43 |
+
booktitle={Advances in Neural Information Processing Systems 37},
|
| 44 |
year={2024}
|
| 45 |
}
|
| 46 |
```
|