Modelpublic

IEETA/MultiClinNER-MIXED

sourceHugging Faceapache-2.0updated 5mo agoView on Hugging Face

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Model Card

MultiClinNER Multilingual Models

Multilingual clinical NER models trained on all 7 languages (CZ, EN, ES, IT, NL, RO, SV).

Best Model

—Model: FacebookAI-xlm-roberta-large-C64-H3-E3-Arandom-%0.25-P0.2-42
—Branch: main

Usage

python

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

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

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

All Models (7 variants)

Branch	Model	Best?
`main`	`FacebookAI-xlm-roberta-large-C64-H3-E3-Arandom-%0.25-P0.2-42`	Yes
`FacebookAI-xlm-roberta-large-C64-H3-E3-Arandom-pct0.25-P0.2-123`	`FacebookAI-xlm-roberta-large-C64-H3-E3-Arandom-%0.25-P0.2-123`
`FacebookAI-xlm-roberta-large-C64-H3-E3-Aukn-pct0.1-P0.2-42`	`FacebookAI-xlm-roberta-large-C64-H3-E3-Aukn-%0.1-P0.2-42`
`FacebookAI-xlm-roberta-large-C64-H3-E3-Aukn-pct0.25-P0.2-123`	`FacebookAI-xlm-roberta-large-C64-H3-E3-Aukn-%0.25-P0.2-123`
`FacebookAI-xlm-roberta-large-C64-H3-E3-Aukn-pct0.25-P0.2-42`	`FacebookAI-xlm-roberta-large-C64-H3-E3-Aukn-%0.25-P0.2-42`
`FacebookAI-xlm-roberta-large-C64-H3-E3-Aukn-pct0.25-P0.5-123`	`FacebookAI-xlm-roberta-large-C64-H3-E3-Aukn-%0.25-P0.5-123`
`FacebookAI-xlm-roberta-large-C64-H3-E3-Aukn-pct0.25-P0.5-42`	`FacebookAI-xlm-roberta-large-C64-H3-E3-Aukn-%0.25-P0.5-42`