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DotCheck in-house engines use the following upstream models as frozen bases /
backbones. Their licenses remain those of the upstream projects. DotCheck heads
trained on top of these bases are Apache-2.0 in this package (see LICENSE).
Upstream backbone licenses remain those of the upstream projects.
1) google/siglip2-base-patch16-224
Used by: Vermeer + Muybridge
Hub: https://huggingface.co/google/siglip2-base-patch16-224
Typical license: Apache-2.0 (see upstream card)
2) Oxidane/tmr-ai-text-detector
Used by: Valla
Hub: https://huggingface.co/Oxidane/tmr-ai-text-detector
Typical license: MIT (see upstream card)
3) fakespot-ai/roberta-base-ai-text-detection-v1
Used by: Valla
Hub: https://huggingface.co/fakespot-ai/roberta-base-ai-text-detection-v1
Typical license: Apache-2.0 (see upstream card)
4) mispeech/dasheng-base
Used by: Helmholtz
Hub: https://huggingface.co/mispeech/dasheng-base
Typical license: Apache-2.0 (see upstream card)
5) hfl/chinese-macbert-base
Used by: Valla (zh cls_emb)
Hub: https://huggingface.co/hfl/chinese-macbert-base
Typical license: Apache-2.0 (see upstream card)
DotCheck does not redistribute upstream full checkpoints via DotCheck Hub
public model repos. Everyday product scoring runs through DotCheck services.
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