# Web adaptation

LaMini-Flan-T5-783M is a lightweight text generation model based on the T5 architecture, supporting English, Russian, and Ukrainian, suitable for various natural language processing tasks.

A model for detecting whether images contain Not Safe For Work (NSFW) content, supporting web deployment

Hiera is an efficient vision Transformer model designed for image classification tasks, featuring a small parameter count and high computational performance.

OWL-ViT is a zero-shot object detection model based on Vision Transformer, capable of detecting objects of new categories without fine-tuning.

Natural language inference model based on DeBERTa-v3-large architecture, ONNX weight version adapted for Transformers.js

A natural language inference (NLI) model based on the DeBERTa architecture, suitable for zero-shot classification tasks, converted to ONNX format for compatibility with Transformers.js

A zero-shot classification model based on DeBERTa-v3, supporting multi-task natural language inference (MNLI), FEVER, and ANLI tasks, converted to ONNX format for compatibility with Transformers.js

A small natural language inference model based on DeBERTa-v3, suitable for zero-shot classification tasks

ONNX weight version of OpenAI Whisper-tiny.en model, designed for Transformers.js, used for English speech transcription.