neuralbioinfo
/

prokbert-mini

sequence embedding

genomic language models

promoter-prediction

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ligeti commited on Feb 16, 2024

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88b9c3a

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@@ -22,7 +22,7 @@ tokenization_parameters = {
 }
 # Initialize the tokenizer and model
 tokenizer = ProkBERTTokenizer(tokenization_params=tokenization_parameters, operation_space='sequence')
-model = MegatronBertForMaskedLM.from_pretrained("neuralbioinfo/prokbert-mini-k6s1")
 # Example DNA sequence
 sequence = 'ATGTCCGCGGGACCT'
 # Tokenize the sequence

 }
 # Initialize the tokenizer and model
 tokenizer = ProkBERTTokenizer(tokenization_params=tokenization_parameters, operation_space='sequence')
+model = MegatronBertForMaskedLM.from_pretrained("neuralbioinfo/prokbert-mini")
 # Example DNA sequence
 sequence = 'ATGTCCGCGGGACCT'
 # Tokenize the sequence