Instructions to use HBDX/Seq-TransfoRNA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HBDX/Seq-TransfoRNA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HBDX/Seq-TransfoRNA", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -22,7 +22,7 @@ model_path = f"HBDX/{model_name}-TransfoRNA"
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model = GeneEmbeddModel.from_pretrained(model_path)
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model.eval()
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#init tokenizer.
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tokenizer = RnaTokenizer.from_pretrained(model_path,model_name=model_name)
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output = tokenizer(['AAAGTCGGAGGTTCGAAGACGATCAGATAC','TTTTCGGAACTGAGGCCATGATTAAGAGGG'])
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model = GeneEmbeddModel.from_pretrained(model_path)
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model.eval()
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#init tokenizer.
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tokenizer = RnaTokenizer.from_pretrained(model_path,model_name=model_name)
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output = tokenizer(['AAAGTCGGAGGTTCGAAGACGATCAGATAC','TTTTCGGAACTGAGGCCATGATTAAGAGGG'])
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