# Fine-tuning Adaptation

This is a transformers model hosted on Hugging Face Hub. Specific functionalities and use cases require further information.

An image captioning model based on the ViT-GPT2 architecture, capable of generating natural language descriptions for input images.

A 7B-parameter embedding model from the Qwen2 series, specifically designed for generating high-quality text embeddings

A speech processing model fine-tuned based on facebook/wav2vec2-large, supporting speech recognition tasks

This model is a fine-tuned version of distilbert-base-uncased on an unspecified dataset, primarily used for text-related tasks.

Pre-trained language model based on BERT architecture, supporting masked language modeling tasks

BERT is a transformer model pre-trained on large-scale English corpora through self-supervised learning, utilizing masked language modeling and next sentence prediction objectives

T5-Efficient-TINY is a deep-narrow variant of Google's T5 model, focusing on improving downstream task performance by increasing model depth rather than width.