NLI-based zero-shot encoders for AI Guardrails, Content Moderation, Prompt/Intent Classification, Prompt Routing and more!
Lee Miller PRO
dleemiller
AI & ML interests
Cross encoders, NLI, retrieval, computer vision
Recent Activity
updated
a dataset
10 days ago
public-records-research/epstractor-ocr
published
a dataset
10 days ago
public-records-research/epstractor-ocr
updated
a dataset
26 days ago
dleemiller/fiqa
Organizations
High quality natural language inference
New CrossEncoder (sentence transformers) models trained on the ModernBERT architecture.
-
dleemiller/ModernCE-base-sts
Text Classification • 0.1B • Updated • 227 • 9 -
dleemiller/ModernCE-large-sts
Text Classification • 0.4B • Updated • 254 • 1 -
dleemiller/ModernCE-base-nli
Text Classification • 0.1B • Updated • 58 • 1 -
dleemiller/ModernCE-large-nli
Text Classification • 0.4B • Updated • 85 • 2
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 • 227 • 9 -
dleemiller/ModernCE-large-sts
Text Classification • 0.4B • Updated • 254 • 1 -
dleemiller/ModernCE-base-nli
Text Classification • 0.1B • Updated • 58 • 1 -
dleemiller/ModernCE-large-nli
Text Classification • 0.4B • Updated • 85 • 2