# Small Parameter Size

A text summarization model fine-tuned on the xsum dataset based on the T5-small architecture, capable of generating concise summaries.

Parler-TTS Mini v1 is a small Japanese text-to-speech model that supports high-quality speech synthesis.

134M parameters, 768-dimensional Llama Lite for generating sentence embeddings

This model is a fine-tuned version of the ELECTRA-small discriminator based on the SQuAD dataset, suitable for question-answering tasks.

This model is a text summarization model fine-tuned on the Amazon dataset based on google/mt5-small, supporting English to Traditional Chinese abstract generation tasks.

TAPAS (Table Parser) is a table-based pre-trained language model developed by Google Research, specifically designed for processing tabular data and natural language queries.

RoFormer is a Transformer model enhanced by Rotary Position Embedding (RoPE), suitable for Chinese text processing tasks.

This model is a fine-tuned version of DeBERTa-v3-small on the GLUE COLA dataset for linguistic acceptability judgment tasks.