Fill-Mask
Transformers
Safetensors
prokbert
bioinformatics
genomics
sequence embedding
genomic language models
nucleotide
dna-sequence
promoter-prediction
phage
custom_code
Instructions to use neuralbioinfo/prokbert-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neuralbioinfo/prokbert-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="neuralbioinfo/prokbert-mini", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("neuralbioinfo/prokbert-mini", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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- **Feedback and inquiries:** [obalasz@gmail.com](mailto:obalasz@gmail.com)
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## Reference
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If you use ProkBERT-mini in your research, please cite the following paper:
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@ARTICLE{10.3389/fmicb.2023.1331233,
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AUTHOR={Ligeti, Balázs and Szepesi-Nagy, István and Bodnár, Babett and Ligeti-Nagy, Noémi and Juhász, János},
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ISSN={1664-302X},
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ABSTRACT={...}
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}
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- **Feedback and inquiries:** [obalasz@gmail.com](mailto:obalasz@gmail.com)
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## Reference
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```
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If you use ProkBERT-mini in your research, please cite the following paper:
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@ARTICLE{10.3389/fmicb.2023.1331233,
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AUTHOR={Ligeti, Balázs and Szepesi-Nagy, István and Bodnár, Babett and Ligeti-Nagy, Noémi and Juhász, János},
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ISSN={1664-302X},
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ABSTRACT={...}
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}
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```
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