# English processing

Qwen2-VL-72B-Instruct is a multimodal vision-language model that supports interaction between images and text, suitable for complex vision-language tasks.

This is a BERT model fine-tuned for spam detection with a validation accuracy of approximately 99%

This model is a zero-shot classification model fine-tuned on an economics dataset based on DistilBERT, suitable for classification tasks related to economics texts.

A fine-tuned version based on the DistilBERT base model, suitable for text classification tasks

This model is a fine-tuned version based on bert-base-uncased. Specific application scenarios and training dataset information are not provided.

A character-level pre-trained model based on the BERT architecture, suitable for case-insensitive text processing tasks.

A fine-tuned version of the bert-base-cased model on the wikitext2 dataset, suitable for text-related tasks