MultiClinNER Models
Collection
Multi-Head CRF models for clinical Named Entity Recognition across 7 languages (CZ, EN, ES, IT, NL, RO, SV) plus multilingual and 3 entities. • 8 items • Updated • 1
Multilingual clinical NER models trained on all 7 languages (CZ, EN, ES, IT, NL, RO, SV).
FacebookAI-xlm-roberta-large-C64-H3-E3-Arandom-%0.25-P0.2-42main# 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")
| 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 |