Microsoft
The TrOCR model is an encoder-decoder model, consisting of an image Transformer as encoder, and a text Transformer as decoder. The image encoder was initialized from the weights of BEiT, while the text decoder was initialized from the weights of RoBERTa.
Running this yourself: can likely run on your own machine.
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28.8
Quality Score
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Arena ELO
333M
Parameters
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Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
14 of 22 public signals
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186.4K
Downloads
523
Likes
Mar 2022
Released
4/5 signals
1/4 signals
3/5 signals
3/4 signals
3/4 signals
Parameters
333M
Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources