# Few-shot adaptation

Pasta-Lake-7b is a 7B-parameter language model created by merging the Test157t/Pasta-PrimaMaid-7b and macadeliccc/WestLake-7B-v2-laser-truthy-dpo models.

An optimized and calibrated mini-T5 model suitable for text generation and transformation tasks, featuring lightweight and efficient characteristics.

Image classification model fine-tuned on EuroSAT remote sensing image dataset based on Google's ViT base architecture

This model is a fine-tuned version based on microsoft/beit-base-patch16-224-pt22k-ft22k, with specific usage and training data not explicitly stated.

An image classification model fine-tuned based on microsoft/beit-base-patch16-224-pt22k-ft22k, achieving 98.92% accuracy on the evaluation set.

An image classification model based on Google's Vision Transformer (ViT) architecture, fine-tuned on a custom image dataset with an evaluation accuracy of 100%