A small Mobilevit implementation for Retrieval, packaged with an explicit configuration and an initialization checkpoint. The small 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 adam with a linear warmup schedule. These are starting values in the script, not…
Independent publisher
Amitiyerpaw
amitiyerpaw
Exploring deep learning, computer vision and LLMs.
Models in Library1
Datasets in Library0
Models on Hugging Face3
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