# Multi-task Support

A general-purpose text generation model based on the Transformers library, supporting various natural language processing tasks

YOYO-O1-32B is a versatile large language model that integrates top-tier 32B reasoning and code models from the open-source community, built using SCE fusion technology.

A sentence transformer model supporting multiple languages, suitable for text ranking tasks

This model is based on the Transformers architecture, and its specific purpose and functionality require further information to confirm.

SAM2-Hiera Small is a compact variant of Meta's SAM2 model for efficient mask generation tasks.

InstantID is an advanced, tuning-free method that achieves identity-preserving generation with just a single image, supporting multiple downstream tasks.

A privacy protection model developed by Tencent Security Xuanwu Lab, safeguarding user privacy by hiding sensitive information and restoring output content.

A Chinese pre-trained BERT model employing whole word masking strategy, designed to accelerate Chinese natural language processing research.

A pre-trained model based on the Spanish RoBERTa-base architecture, fine-tuned for the XNLI dataset, optimized with Gaussian sampling for training data quality

HeBERT is a Hebrew pretrained language model based on the BERT architecture, supporting tasks such as polarity analysis and sentiment recognition.

GreekBERT is a pre-trained language model for Greek, suitable for various Greek natural language processing tasks.

A Chinese pretrained BERT model using whole word masking technology, designed to accelerate the development of Chinese natural language processing.