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README.md
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datasets:
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- ChEMBL
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pipeline_tag: fill-mask
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---
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# BERT base for SMILES
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@@ -35,4 +38,4 @@ model = BertModel.from_pretrained(checkpoint)
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example = 'O=C([C@@H](c1ccc(cc1)O)N)N[C@@H]1C(=O)N2[C@@H]1SC([C@@H]2C(=O)O)(C)C'
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tokens = tokenizer(example, return_tensors='pt')
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predictions = model(**tokens)
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```
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datasets:
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- ChEMBL
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pipeline_tag: fill-mask
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tags:
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- biology
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- medical
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---
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# BERT base for SMILES
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example = 'O=C([C@@H](c1ccc(cc1)O)N)N[C@@H]1C(=O)N2[C@@H]1SC([C@@H]2C(=O)O)(C)C'
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tokens = tokenizer(example, return_tensors='pt')
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predictions = model(**tokens)
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```
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