Instructions to use zjunlp/OntoProtein with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zjunlp/OntoProtein with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="zjunlp/OntoProtein")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("zjunlp/OntoProtein") model = AutoModelForMaskedLM.from_pretrained("zjunlp/OntoProtein") - Notebooks
- Google Colab
- Kaggle
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README.md
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### BibTeX entry and citation info
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```bibtex
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### BibTeX entry and citation info
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```bibtex
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@inproceedings{
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zhang2022ontoprotein,
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title={OntoProtein: Protein Pretraining With Gene Ontology Embedding},
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author={Ningyu Zhang and Zhen Bi and Xiaozhuan Liang and Siyuan Cheng and Haosen Hong and Shumin Deng and Qiang Zhang and Jiazhang Lian and Huajun Chen},
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booktitle={International Conference on Learning Representations},
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year={2022},
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url={https://openreview.net/forum?id=yfe1VMYAXa4}
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}
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```
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