A small Coca implementation for Classification, packaged with an explicit configuration and an initialization checkpoint. The base 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 novograd with a linear warmup schedule. These are starting values in the script…
Independent publisher
Ingrid Weber
michaelvnguyen
Into NLP, diffusion models and AI agents.
Models in Library1
Datasets in Library0
Models on Hugging Face3
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