Training with Prompts - a tomaarsen Collection

tomaarsen 's Collections

Qwen3 Rerankers converted to Sequence Classification

Reranker Models for GooAQ

Training with Prompts

Matryoshka Embedding Models

Reranker Models for MS MARCO

State-of-the-Art NER models - General purpose

State-of-the-Art NER models - Biomedical domain

State-of-the-Art NER models - Acronyms

State-of-the-Art NER models - Keyphrases

State-of-the-Art NER models - Tagalog

State-of-the-Art NER models - Organizations

SpanMarker NER Models

SetFitABSA models

Training with Prompts

updated May 13

See the Training with Prompts documentation for more details: https://sbert.net/examples/training/prompts/README.html

tomaarsen/mpnet-base-nq

Sentence Similarity • 0.1B • Updated Nov 7, 2024 • 9

Note Baseline model
tomaarsen/mpnet-base-nq-prompts

Sentence Similarity • 0.1B • Updated Nov 7, 2024 • 10 • 1

Note Model trained with prompts
tomaarsen/bert-base-nq

Sentence Similarity • 0.1B • Updated Nov 7, 2024 • 8

Note Baseline model
tomaarsen/bert-base-nq-prompts

Sentence Similarity • 0.1B • Updated Nov 7, 2024 • 88

Note Model trained with prompts
tomaarsen/bert-base-nq-prompts-exclude-pooling-prompts

Sentence Similarity • 0.1B • Updated Nov 7, 2024 • 11

Note Model trained with prompts, the prompt is excluded in the mean pooling