A small Swin T implementation for Matching, packaged with an explicit configuration and an initialization checkpoint. The giant variant is a reproducible starting point, not a trained model release. - The Python file contains the model and runnable example or training entry point. - config.json records the generated architecture settings. - trainingargs.json records the default experiment recipe. - model.safetensors is a valid initialization checkpoint for smoke tests; it is not presented as a trained benchmark checkpoint. - No benchmark score is claimed in this repository. The included configuration uses sgd with a step schedule. These are starting values in the script, not evidence of a…
Independent publisher
Brianna S. Turner
turnerbria
tensorflow, edge computing, transformers
Models in Library1
Datasets in Library0
Models on Hugging Face1
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