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JSNLI Fine-tuning

# JSNLI Fine-tuning

Bert Base Japanese V3 Nli Jsnli
A Japanese natural language inference model based on BERT architecture, trained on the JSNLI dataset, used to determine logical relationships (entailment/neutral/contradiction) between sentence pairs
Text Classification Supports Multiple Languages
B
akiFQC
203
0
Sup Simcse Ja Base
A Japanese sentence embedding model fine-tuned using supervised SimCSE method, suitable for sentence similarity calculation and feature extraction tasks.
Text Embedding Transformers Japanese
S
cl-nagoya
3,027
2
Sbert Jsnli Luke Japanese Base Lite
Apache-2.0
This is a Japanese sentence embedding model based on sentence-transformers, capable of mapping sentences and paragraphs into a 768-dimensional vector space, suitable for tasks like clustering and semantic search.
Text Embedding Transformers Japanese
S
oshizo
9,113
35
Roberta Base Japanese Jsnli
A text classification model fine-tuned on the JSNLI dataset based on the Japanese RoBERTa model, excelling in natural language inference tasks
Text Classification Transformers Supports Multiple Languages
R
Formzu
31
0
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