This is an experimental Cnn Transformer codebase for Classification. It keeps the giant setup intentionally manageable so architecture changes can be inspected before a full training run. - 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 novograd with a constant warmup schedule. These are starting values in the script, not evidence…
Independent publisher
Leandro.costa
Costale90
recommendation systems, edge computing, model evaluation, transfer learning
Models in Library1
Datasets in Library0
Models on Hugging Face1
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