Training with Prompts - a tomaarsen Collection

tomaarsen 's Collections

Training with Prompts

Matryoshka Embedding Models

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

SetFitABSA models

Training with Prompts

updated Nov 7, 2024

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

tomaarsen/mpnet-base-nq

Sentence Similarity • Updated Nov 7, 2024 • 8

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

Sentence Similarity • Updated Nov 7, 2024 • 14 • 1

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

Sentence Similarity • Updated Nov 7, 2024 • 8

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

Sentence Similarity • Updated Nov 7, 2024 • 8

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

Sentence Similarity • Updated Nov 7, 2024 • 4

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