CoolFace
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IEETA/MultiClinNER-SV

sourceHugging Faceapache-2.0updated 5mo agoView on Hugging Face
0likes17downloads
Model Card

MultiClinNER SV Models

Clinical NER models for SV, trained with Multi-Head CRF architecture.

Best Model

  • —Model: KB-C64-H3-E60-Arandom-%0.1-P0.5-42
  • —Best F1: 0.7051
  • —Branch: main

Usage

python
# Load the best model (main branch)
from transformers import AutoTokenizer, AutoModelForTokenClassification

model = AutoModelForTokenClassification.from_pretrained("IEETA/MultiClinNER-SV")
tokenizer = AutoTokenizer.from_pretrained("IEETA/MultiClinNER-SV")

# Load a specific model variant
model = AutoModelForTokenClassification.from_pretrained("IEETA/MultiClinNER-SV", revision="BRANCH_NAME")

All Models (11 variants)

BranchModelBest?
mainKB-C64-H3-E60-Arandom-%0.1-P0.5-42Yes
KB-C64-H3-E60-Arandom-pct0.1-P0.2-123KB-C64-H3-E60-Arandom-%0.1-P0.2-123
KB-C64-H3-E60-Arandom-pct0.1-P0.2-42KB-C64-H3-E60-Arandom-%0.1-P0.2-42
KB-C64-H3-E60-Arandom-pct0.1-P0.2-999KB-C64-H3-E60-Arandom-%0.1-P0.2-999
KB-C64-H3-E60-Arandom-pct0.1-P0.5-123KB-C64-H3-E60-Arandom-%0.1-P0.5-123
KB-C64-H3-E60-Arandom-pct0.25-P0.2-42KB-C64-H3-E60-Arandom-%0.25-P0.2-42
KB-C64-H3-E60-Arandom-pct0.25-P0.2-999KB-C64-H3-E60-Arandom-%0.25-P0.2-999
KB-C64-H3-E60-Aukn-pct0.1-P0.5-123KB-C64-H3-E60-Aukn-%0.1-P0.5-123
KB-C64-H3-E60-Aukn-pct0.1-P0.5-42KB-C64-H3-E60-Aukn-%0.1-P0.5-42
KB-C64-H3-E60-Aukn-pct0.25-P0.2-123KB-C64-H3-E60-Aukn-%0.25-P0.2-123
KB-C64-H3-E60-Aukn-pct0.25-P0.2-42KB-C64-H3-E60-Aukn-%0.25-P0.2-42