neuralbioinfo
/

prokbert-mini-c-phage

Text Classification

sequence embedding

genomic language models

promoter-prediction

Inference Endpoints

Model card Files Files and versions Community

ligeti commited on Feb 16, 2024

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@@ -59,9 +59,9 @@ print(outputs)
 **Developed by:** Neural Bioinformatics Research Group
 **Architecture:**
-...
-**Tokenizer:** The model uses a 6-mer tokenizer with a shift of 2 (k6s2), specifically designed to handle DNA sequences efficiently.
 **Parameters:**

 **Developed by:** Neural Bioinformatics Research Group
 **Architecture:**
+MegatronBertForSequenceClassification
+**Tokenizer:** The model uses a character based tokenizer with a shift of 1 (k1s1), specifically designed to handle DNA sequences efficiently.
 **Parameters:**