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CompoundT5

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text2text-generation
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text-generation-inference
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  # ZINC-t5
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  We trained T5 on SMILES from ZINC using the task of masked-language modeling (MLM), and its tokenizer is also trained on ZINC data. This model can be used for the prediction of molecules' properties, reactions, or interactions with proteins by changing the way of finetuning.
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- As an example, I finetuned this model to predict products. Model is [here](https://huggingface.co/sagawa/ZINC-t5-productpredicition), and you can use the demo [here](https://huggingface.co/spaces/sagawa/predictproduct-t5)
 
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  # ZINC-t5
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  We trained T5 on SMILES from ZINC using the task of masked-language modeling (MLM), and its tokenizer is also trained on ZINC data. This model can be used for the prediction of molecules' properties, reactions, or interactions with proteins by changing the way of finetuning.
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+ As an example, We finetuned this model to predict products. Model is [here](https://huggingface.co/sagawa/ZINC-t5-productpredicition), and you can use the demo [here](https://huggingface.co/spaces/sagawa/predictproduct-t5).