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Update README.md

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@@ -6,6 +6,10 @@ tags:
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  - DNA
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  - biology
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  - genomics
 
 
 
 
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  ---
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  # Plant foundation DNA large language models
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@@ -38,7 +42,7 @@ Here is a simple code for inference:
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  ```python
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
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- model_name = 'plant-dnabert-lncRNAs'
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  # load model and tokenizer
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  model = AutoModelForSequenceClassification.from_pretrained(f'zhangtaolab/{model_name}', trust_remote_code=True)
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  tokenizer = AutoTokenizer.from_pretrained(f'zhangtaolab/{model_name}', trust_remote_code=True)
@@ -60,4 +64,4 @@ Detailed training procedure can be found in our manuscript.
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  #### Hardware
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- Model was trained on a NVIDIA GTX1080Ti GPU (11 GB).
 
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  - DNA
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  - biology
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  - genomics
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+ datasets:
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+ - zhangtaolab/plant-multi-species-lncRNAs
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+ base_model:
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+ - zhangtaolab/plant-dnabert-BPE
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  ---
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  # Plant foundation DNA large language models
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  ```python
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
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+ model_name = 'plant-dnabert-BPE-lncRNAs'
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  # load model and tokenizer
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  model = AutoModelForSequenceClassification.from_pretrained(f'zhangtaolab/{model_name}', trust_remote_code=True)
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  tokenizer = AutoTokenizer.from_pretrained(f'zhangtaolab/{model_name}', trust_remote_code=True)
 
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  #### Hardware
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+ Model was trained on a NVIDIA GTX1080Ti GPU (11 GB).