Observable, accurate zero-shot based on NLI
Lee Miller PRO
dleemiller
AI & ML interests
Cross encoders, NLI, retrieval, computer vision
Recent Activity
updated a Space about 16 hours ago
dleemiller/open-nli-leaderboard updated a dataset about 16 hours ago
dleemiller/OpenNLI-Leaderboard published a model about 16 hours ago
dleemiller/finecat-nli-dbv3-mOrganizations
Next generation finecat NLI cross encoders
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dleemiller/finecat-nli-v2-xl
Zero-Shot Classification • 1B • Updated • 319 • 1 -
dleemiller/finecat-nli-v2-l
Zero-Shot Classification • 0.4B • Updated • 387 -
dleemiller/finecat-nli-v2-m
Zero-Shot Classification • 0.1B • Updated • 183 -
dleemiller/finecat-nli-v2-s
Zero-Shot Classification • 68.4M • Updated • 127
NLI-based zero-shot encoders for AI Guardrails, Content Moderation, Prompt/Intent Classification, Prompt Routing and more!
CrossEncoder (sentence transformers) models trained on the Ettin (ModernBERT) base models.
NLI cross encoders based on UltraBERT
High quality natural language inference
New CrossEncoder (sentence transformers) models trained on the ModernBERT architecture.
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dleemiller/ModernCE-base-sts
Text Classification • 0.1B • Updated • 1.13k • 11 -
dleemiller/ModernCE-large-sts
Text Classification • 0.4B • Updated • 1.87k • 1 -
dleemiller/ModernCE-base-nli
Text Classification • 0.1B • Updated • 623 • 3 -
dleemiller/ModernCE-large-nli
Text Classification • 0.4B • Updated • 2.97k • 5
Observable, accurate zero-shot based on NLI
NLI cross encoders based on UltraBERT
Next generation finecat NLI cross encoders
-
dleemiller/finecat-nli-v2-xl
Zero-Shot Classification • 1B • Updated • 319 • 1 -
dleemiller/finecat-nli-v2-l
Zero-Shot Classification • 0.4B • Updated • 387 -
dleemiller/finecat-nli-v2-m
Zero-Shot Classification • 0.1B • Updated • 183 -
dleemiller/finecat-nli-v2-s
Zero-Shot Classification • 68.4M • Updated • 127
NLI-based zero-shot encoders for AI Guardrails, Content Moderation, Prompt/Intent Classification, Prompt Routing and more!
High quality natural language inference
CrossEncoder (sentence transformers) models trained on the Ettin (ModernBERT) base models.
New CrossEncoder (sentence transformers) models trained on the ModernBERT architecture.
-
dleemiller/ModernCE-base-sts
Text Classification • 0.1B • Updated • 1.13k • 11 -
dleemiller/ModernCE-large-sts
Text Classification • 0.4B • Updated • 1.87k • 1 -
dleemiller/ModernCE-base-nli
Text Classification • 0.1B • Updated • 623 • 3 -
dleemiller/ModernCE-large-nli
Text Classification • 0.4B • Updated • 2.97k • 5