mGTE series multilingual text encoder, supporting 75 languages, with a maximum context length of 8192, based on BERT+RoPE+GLU architecture, excelling in GLUE and XTREME-R benchmarks

Natural Language ProcessingSafetensorsMultiple Languages

This is a text classification model fine-tuned on the GLUE MNLI dataset based on google/switch-base-8, primarily used for natural language inference tasks.

Natural Language ProcessingTransformersEnglish

This model is a fine-tuned version of intfloat/e5-base-v2 on the GLUE (MNLI) and ANLI datasets, suitable for zero-shot classification and natural language inference tasks.

Natural Language ProcessingTransformersEnglish

An English grammar checking model fine-tuned on the GLUE dataset based on bert-base-uncased, used for text classification tasks.

Natural Language ProcessingTransformers

This is a text classification model based on the BERT-tiny architecture, fine-tuned on the GLUE RTE task, primarily used for textual entailment recognition tasks.

Natural Language ProcessingTransformers

A text classification model fine-tuned on the GLUE QQP dataset based on the BERT base model, used to determine whether two questions are semantically identical

Natural Language ProcessingTransformersEnglish

A text classification model fine-tuned on the GLUE SST2 dataset based on BERT-base-uncased, which performs excellently in sentiment analysis tasks with an accuracy rate of 93.23%.

Natural Language ProcessingTransformersEnglish

This model is a cross-encoder trained on distilroberta-base for determining whether a given passage can answer a specific question, trained on the GLUE QNLI dataset.

Natural Language ProcessingJaxEnglish

DeBERTa-v3-large model fine-tuned on GLUE MNLI dataset for natural language inference tasks, achieving 90% accuracy on the validation set

Natural Language ProcessingTransformersEnglish

This model is a text classification model fine-tuned on the GLUE RTE task based on ALBERT-large-v2, used for recognizing textual entailment relationships.

Natural Language ProcessingTransformers

A text classification model fine-tuned on the GLUE COLA dataset based on bert-base-cased, used for grammatical correctness judgment

Natural Language ProcessingTransformersEnglish

A text classification model fine-tuned on the GLUE COLA dataset based on google/fnet-base, used to evaluate the performance comparison between FNet and BERT architectures

Natural Language ProcessingTransformersEnglish

A text classification model fine-tuned on the GLUE MNLI dataset based on bert-base-cased, designed for natural language inference tasks

Natural Language ProcessingTransformersEnglish

This model is a text classification model fine-tuned on the GLUE SST2 dataset using DeBERTa v3 small, demonstrating excellent performance in sentiment analysis tasks.

Natural Language ProcessingTransformersEnglish

This model is a text classification model fine-tuned on the GLUE CoLA task based on the DistilBERT base model, used to determine the grammatical correctness of English sentences.

Natural Language ProcessingTransformers

A text classification model fine-tuned on the GLUE RTE task based on the BERT base model

Natural Language ProcessingTransformers

A text classification model fine-tuned on the GLUE dataset based on distilbert-base-uncased

Natural Language ProcessingTransformers

A text classification model fine-tuned on GLUE QQP dataset based on bert-base-cased, used to compare performance differences between fnet-base and bert-base-cased

Natural Language ProcessingTransformersEnglish

Text classification model fine-tuned on GLUE MRPC dataset based on bert-base-uncased

Natural Language ProcessingTransformersEnglish

A text classification model fine-tuned on the GLUE MNLI dataset based on the RoBERTa-base model, excelling in natural language inference tasks

Natural Language ProcessingTransformersEnglish