# Quick Deployment

A randomly initialized model based on the Mistral architecture, suitable for end-to-end testing.

A text generation model trained on the AutoTrain platform, capable of generating coherent text content based on input prompts

The first TinyStories-1M version reconstructed based on Llama architecture, a proof-of-concept model designed for generating children's stories

This model is an image classification model fine-tuned on the MNIST dataset based on the Swin Transformer architecture, achieving an accuracy of 98.33%

This is an image classification model based on the Vision Transformer architecture, achieving an accuracy of 95.02%.

RoBERTa Mini is an ultra-simplified model designed specifically for testing purposes, based on the RoBERTa architecture, suitable for natural language processing tasks.

FlauBERT Mini is an extremely simplified French language model designed for testing purposes, based on a lightweight version of the FlauBERT architecture.