# Downstream task adaptation

This is a transformers model hosted on Hugging Face Hub, with specific functions and purposes not clearly stated.

This is a transformers model hosted on the Hugging Face Hub. Specific functions and uses are pending further details.

This is a transformers model hosted on Hugging Face Hub, with its specific functions and purposes not clearly stated yet.

A small T5 model with rotary position encoding trained on a mix of Russian and English corpora, fine-tuned for instructions

A visual feature extraction model developed by NVIDIA that converts images into embedding vectors for downstream tasks

This is a text generation model based on the Apache-2.0 license, with specific functions and uses to be supplemented.

A small-scale vision Transformer model trained using the DINOv2 method, extracting image features through self-supervised learning

A vision Transformer model trained using the DINOv2 method, extracting robust visual features from massive image data through self-supervised learning

Vision Transformer model trained using the DINOv2 method, extracting image features through self-supervised learning

DistilRoBERTa is a lightweight distilled version of the RoBERTa model, retaining most of its performance while being smaller and faster.

Based on the SciBERT pre-trained language model, fine-tuned on the CiteWorth dataset for scientific literature citation value detection tasks