# Few-shot training

KinyaWhisper is a fine-tuned Kinyarwanda automatic speech recognition (ASR) system based on OpenAI's Whisper model, specifically designed for low-resource indigenous languages.

A LoRA model trained on 25 images of Madison Beer. It can generate relevant style images without trigger words.

This model was trained on 4 out of 58 Python files from the bigcode/starcoderdata dataset, primarily for code-related tasks.

Document classification model based on the Donut framework, trained on a small-scale RVL-CDIP dataset

A ResNet-50 fine-tuned image classification model for identifying 36 common fruits and vegetables

An image classification model fine-tuned based on microsoft/resnet-18, performing excellently on image folder datasets.

An image classification model fine-tuned on the MNIST dataset based on the ViT architecture, achieving an accuracy of 99.49%

A fine-tuned Portuguese automatic speech recognition model based on jonatasgrosman/wav2vec2-large-xlsr-53-portuguese

This is a text paraphrasing model for Persian language, built upon a Persian monolingual T5 model, capable of generating multiple paraphrased versions of Persian texts.