# English text analysis

This model is a fine-tuned version of DistilBERT-base-uncased on the CoLA (Corpus of Linguistic Acceptability) dataset, designed for grammatical acceptability judgment tasks.

A DeBERTa-v3-large model specifically designed for zero-shot classification, capable of reformulating any classification task as a Natural Language Inference (NLI) problem

This is a natural language inference (NLI) model based on the T5-XXL architecture, used to predict entailment relationships between text pairs ('1' for entailment, '0' for non-entailment).

English NER model fine-tuned based on RoBERTa-base architecture, supporting 18 entity types

Flair's built-in large English named entity recognition model for 18 classes, trained on the Ontonotes dataset using XLM-R embeddings and FLERT technology.

This model is a fine-tuned version of the DistilBERT base model on the COLA dataset, primarily used for grammatical acceptability judgment tasks.

This is a text classification model based on the DistilBERT architecture, specifically fine-tuned for the CoLA (Corpus of Linguistic Acceptability) task.

This model is based on the RoBERTa architecture, specifically designed to predict the formality level of English sentences.

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