Instructions to use yarongef/DistilProtBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yarongef/DistilProtBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="yarongef/DistilProtBert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("yarongef/DistilProtBert") model = AutoModelForMaskedLM.from_pretrained("yarongef/DistilProtBert") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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author = {Geffen, Yaron and Ofran, Yanay and Unger, Ron},
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title = {DistilProtBert: A distilled protein language model used to distinguish between real proteins and their randomly shuffled counterparts},
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year = {2022},
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doi = {10.
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URL = {https://
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journal = {bioRxiv}
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}
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```
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author = {Geffen, Yaron and Ofran, Yanay and Unger, Ron},
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title = {DistilProtBert: A distilled protein language model used to distinguish between real proteins and their randomly shuffled counterparts},
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year = {2022},
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doi = {10.1093/bioinformatics/btac474},
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URL = {https://doi.org/10.1093/bioinformatics/btac474},
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journal = {Bioinformatics}
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}
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```
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