Materials
Collection
Welcome to IBM’s multi-modal foundation model for materials, FM4M, designed to support and advance research in materials science and chemistry.
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8 items
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selfies-ted2m
selfies-ted is an transformer based encoder decoder model for molecular representations using SELFIES. This is a 2.2M parameter version of the model. For the full-sized version and more information on architecture, see selfies-ted.
This version also includes a projection layer to convert the last hidden state of the BART model (256-dimensional vector per token) to a single 128-dimension vector for the whole SELFIES sequence.
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