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Update README.md

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@@ -55,18 +55,25 @@ We sincerely thank the teams behind NT, DNABERT, and HyenaDNA for making their t
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  We provide the following available models for use.
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- - `taxonomy_nucleotide-transformer-v2-50m-multi-species`
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- - `taxonomy_DNABERT-2-117M`
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- - `taxonomy_hyenadna-large-1m-seqlen-hf`
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- - `amr_nucleotide-transformer-v2-50m-multi-species`
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- - `amr_DNABERT-2-117M`
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- - `amr_hyenadna-large-1m-seqlen-hf`
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- - `pathogenicity_nucleotide-transformer-v2-50m-multi-species`
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- - `pathogenicity_DNABERT-2-117M`
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- - `pathogenicity_hyenadna-large-1m-seqlen-hf`
 
 
 
 
 
 
 
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  To use these models, download the directories available here.
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- You must also follow the installation instructions available at [code](github.com/jhuapl-bio/microbert).
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  There are two available modes of operation: setup from source code and setup from Docker.
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  Given that you have followed the setup instructions from source code and have downloaded the model directories here, here is sample code to run inference:
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  We provide the following available models for use.
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+ - `taxonomy/DNABERT-2-117M-taxonomy`
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+ - `taxonomy/hyenadna-large-1m-seqlen-hf-taxonomy`
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+ - `taxonomy/nucleotide-transformer-v2-50m-multi-species-taxonomy`
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+ - `amr/binary/hyenadna-small-32k-seqlen-hf`
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+ - `amr/binary/nucleotide-transformer-v2-100m-multi-species`
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+ - `amr/multiclass/DNABERT-S`
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+ - `amr/multiclass/hyenadna-medium-450k-seqlen-hf`
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+ - `amr/multiclass/nucleotide-transformer-v2-250m-multi-species`
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+ - `pathogenicity/hyenadna-small-32k-seqlen-hf-DeePaC-fungal`
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+ - `pathogenicity/hyenadna-small-32k-seqlen-hf-DeePaC-viral`
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+ - `pathogenicity/hyenadna-small-32k-seqlen-hf-DeepSim-bacterial`
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+ - `pathogenicity/hyenadna-small-32k-seqlen-hf-DeepSim-viral`
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+ - `pathogenicity/nucleotide-transformer-v2-50m-multi-species-DeePaC-fungal`
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+ - `pathogenicity/nucleotide-transformer-v2-50m-multi-species-DeePaC-viral`
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+ - `pathogenicity/nucleotide-transformer-v2-50m-multi-species-DeepSim-bacterial`
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+ - `pathogenicity/nucleotide-transformer-v2-50m-multi-species-DeepSim-viral`
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  To use these models, download the directories available here.
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+ You must also follow the installation instructions available at our [GitHub Repo](github.com/jhuapl-bio/microbert).
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  There are two available modes of operation: setup from source code and setup from Docker.
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  Given that you have followed the setup instructions from source code and have downloaded the model directories here, here is sample code to run inference:
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