# Text sentiment analysis

Quantized ONNX model based on DeBERTa-v3-base, suitable for zero-shot text classification tasks

A sarcasm text classifier based on RoBERTa-base architecture, used to distinguish whether a text is sarcastic

A cross-attention natural language inference model specifically trained for zero-shot and few-shot text classification.

A Turkish zero-shot classification model fine-tuned based on dbmdz/distilbert-base-turkish-cased

This model is based on the BERT-tiny architecture and fine-tuned on the SST-2 dataset using the M-FAC second-order optimizer for text classification tasks.

This model is a BERT-mini model fine-tuned on the SST-2 dataset using the M-FAC second-order optimizer for text classification tasks.