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 DeiT, while the text decoder was initialized from the weights of UniLM.
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22.0
Quality Score
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Arena ELO
Undisclosed
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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477.9K
Downloads
66
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Mar 2022
Released
3/5 signals
2/4 signals
2/5 signals
3/4 signals
3/4 signals
Parameters
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Training compute
Not reported
Dataset scale
Not reported
Base model
Not reported
Gaps we are still tracking
Metadata sources
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Public pricing, no login required. Rates are in USD and billed by the provider, separately from AI Market Cap data plans. Confirm billing cycle, taxes, usage caps, and specific model availability before purchasing. A subscription does not automatically include API credits; context length, caching, and tools can change usage costs.
No pricing data available yet.