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AIDO.DNA-300M

PyTorch
rnabert
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@@ -44,7 +44,7 @@ collated_batch = model.collate({"sequences": ["ACGT", "ACGT"]})
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  logits = model(collated_batch)
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  print(logits)
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  ```
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- ## Or use our one-liner CLI to finetune, evaluate any of the above!
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  ```
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  gbft fit --model SequenceClassification --model.backbone dna300m --data SequenceClassification --data.path <hf_or_local_path_to_your_dataset>
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  gbft test --model SequenceClassification --model.backbone dna300m --data SequenceClassification --data.path <hf_or_local_path_to_your_dataset>
 
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  logits = model(collated_batch)
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  print(logits)
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  ```
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+ ## Or use our one-liner CLI to finetune or evaluate any of the above!
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  ```
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  gbft fit --model SequenceClassification --model.backbone dna300m --data SequenceClassification --data.path <hf_or_local_path_to_your_dataset>
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  gbft test --model SequenceClassification --model.backbone dna300m --data SequenceClassification --data.path <hf_or_local_path_to_your_dataset>