🏗️ Building on HF
Tom Aarsen
tomaarsen
AI & ML interests
NLP: text embeddings, information retrieval, named entity recognition, few-shot text classification
Recent Activity
liked a model about 7 hours ago
regularpooria/HiCWE-MiniLM-L12 upvoted a collection about 7 hours ago
CVE-CWE liked a model about 9 hours ago
mukaddamzaid/amos-1-miniOrganizations
See the Training with Prompts documentation for more details: https://sbert.net/examples/training/prompts/README.html
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nbroad/span-marker-roberta-large-orgs-v1
Token Classification • 0.4B • Updated • 17 • 2 -
tomaarsen/span-marker-bert-base-orgs
Token Classification • Updated • 128 • 1 -
nbroad/span-marker-xdistil-l12-h384-orgs-v3
Token Classification • 33.4M • Updated • 11 -
tomaarsen/span-marker-bert-small-orgs
Token Classification • Updated • 10
Trained on MS MARCO using the a similar strategy as https://huggingface.co/cross-encoder/ms-marco-MiniLM-L12-v2, except with the Ettin base models
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tomaarsen/ms-marco-ettin-150m-reranker
Text Ranking • 0.1B • Updated • 70 • 1 -
tomaarsen/ms-marco-ettin-68m-reranker
Text Ranking • 68.4M • Updated • 622 -
tomaarsen/ms-marco-ettin-32m-reranker
Text Ranking • 32M • Updated • 210 -
tomaarsen/ms-marco-ettin-17m-reranker
Text Ranking • 16.9M • Updated • 461
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tomaarsen/setfit-absa-bge-small-en-v1.5-restaurants-aspect
Text Classification • Updated • 5.77k • 4 -
tomaarsen/setfit-absa-bge-small-en-v1.5-restaurants-polarity
Text Classification • Updated • 5.65k -
tomaarsen/setfit-absa-paraphrase-mpnet-base-v2-restaurants-aspect
Text Classification • 0.1B • Updated • 15 • 1 -
tomaarsen/setfit-absa-paraphrase-mpnet-base-v2-restaurants-polarity
Text Classification • 0.1B • Updated • 16
https://huggingface.co/blog/train-reranker
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tomaarsen/reranker-ModernBERT-large-gooaq-bce
Text Ranking • 0.4B • Updated • 3.5k • • 9 -
tomaarsen/reranker-NeoBERT-gooaq-bce
Text Ranking • 0.2B • Updated • 18 • 2 -
tomaarsen/reranker-ModernBERT-base-gooaq-bce
Text Ranking • 0.1B • Updated • 287 • 3 -
tomaarsen/reranker-MiniLM-L12-gooaq-bce
Text Ranking • 33.4M • Updated • 21 • 1
https://huggingface.co/blog/matryoshka
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BEE-spoke-data/bert-plus-L8-v1.0-syntheticSTS-4k
Sentence Similarity • 88.1M • Updated • 97 • 5 -
aspire/acge_text_embedding
Sentence Similarity • 0.3B • Updated • 313 • 151 -
dunzhang/stella-mrl-large-zh-v3.5-1792d
Sentence Similarity • 0.3B • Updated • 848 • 50 -
NeuML/pubmedbert-base-embeddings-matryoshka
Sentence Similarity • 0.1B • Updated • 1.77k • • 23
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tomaarsen/span-marker-bert-base-fewnerd-fine-super
Token Classification • 0.1B • Updated • 3.31k • 15 -
tomaarsen/span-marker-roberta-large-fewnerd-fine-super
Token Classification • 0.4B • Updated • 73 • 14 -
tomaarsen/span-marker-mbert-base-multinerd
Token Classification • 0.2B • Updated • 48.9k • 72 -
tomaarsen/span-marker-roberta-large-ontonotes5
Token Classification • 0.4B • Updated • 59 • 15
SpanMarker NER models for various domains
https://huggingface.co/blog/train-reranker
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tomaarsen/reranker-ModernBERT-large-gooaq-bce
Text Ranking • 0.4B • Updated • 3.5k • • 9 -
tomaarsen/reranker-NeoBERT-gooaq-bce
Text Ranking • 0.2B • Updated • 18 • 2 -
tomaarsen/reranker-ModernBERT-base-gooaq-bce
Text Ranking • 0.1B • Updated • 287 • 3 -
tomaarsen/reranker-MiniLM-L12-gooaq-bce
Text Ranking • 33.4M • Updated • 21 • 1
See the Training with Prompts documentation for more details: https://sbert.net/examples/training/prompts/README.html
https://huggingface.co/blog/matryoshka
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BEE-spoke-data/bert-plus-L8-v1.0-syntheticSTS-4k
Sentence Similarity • 88.1M • Updated • 97 • 5 -
aspire/acge_text_embedding
Sentence Similarity • 0.3B • Updated • 313 • 151 -
dunzhang/stella-mrl-large-zh-v3.5-1792d
Sentence Similarity • 0.3B • Updated • 848 • 50 -
NeuML/pubmedbert-base-embeddings-matryoshka
Sentence Similarity • 0.1B • Updated • 1.77k • • 23
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tomaarsen/span-marker-bert-base-fewnerd-fine-super
Token Classification • 0.1B • Updated • 3.31k • 15 -
tomaarsen/span-marker-roberta-large-fewnerd-fine-super
Token Classification • 0.4B • Updated • 73 • 14 -
tomaarsen/span-marker-mbert-base-multinerd
Token Classification • 0.2B • Updated • 48.9k • 72 -
tomaarsen/span-marker-roberta-large-ontonotes5
Token Classification • 0.4B • Updated • 59 • 15
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nbroad/span-marker-roberta-large-orgs-v1
Token Classification • 0.4B • Updated • 17 • 2 -
tomaarsen/span-marker-bert-base-orgs
Token Classification • Updated • 128 • 1 -
nbroad/span-marker-xdistil-l12-h384-orgs-v3
Token Classification • 33.4M • Updated • 11 -
tomaarsen/span-marker-bert-small-orgs
Token Classification • Updated • 10
SpanMarker NER models for various domains
Trained on MS MARCO using the a similar strategy as https://huggingface.co/cross-encoder/ms-marco-MiniLM-L12-v2, except with the Ettin base models
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tomaarsen/ms-marco-ettin-150m-reranker
Text Ranking • 0.1B • Updated • 70 • 1 -
tomaarsen/ms-marco-ettin-68m-reranker
Text Ranking • 68.4M • Updated • 622 -
tomaarsen/ms-marco-ettin-32m-reranker
Text Ranking • 32M • Updated • 210 -
tomaarsen/ms-marco-ettin-17m-reranker
Text Ranking • 16.9M • Updated • 461
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tomaarsen/setfit-absa-bge-small-en-v1.5-restaurants-aspect
Text Classification • Updated • 5.77k • 4 -
tomaarsen/setfit-absa-bge-small-en-v1.5-restaurants-polarity
Text Classification • Updated • 5.65k -
tomaarsen/setfit-absa-paraphrase-mpnet-base-v2-restaurants-aspect
Text Classification • 0.1B • Updated • 15 • 1 -
tomaarsen/setfit-absa-paraphrase-mpnet-base-v2-restaurants-polarity
Text Classification • 0.1B • Updated • 16