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.
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22.6
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.
13 of 22 public signals
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297.8K
Downloads
220
Likes
Mar 2022
Released
4/5 signals
1/4 signals
2/5 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
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No pricing data available yet.