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

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

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

All Models (18 variants)

Branch	Model	Best?
`main`	`CLTL-C64-H3-E60-Arandom-%0.25-P0.2-42`	Yes
`CLTL-C64-H3-E60-Anone-pct0.2-P0.5-123`	`CLTL-C64-H3-E60-Anone-%0.2-P0.5-123`
`CLTL-C64-H3-E60-Anone-pct0.2-P0.5-42`	`CLTL-C64-H3-E60-Anone-%0.2-P0.5-42`
`CLTL-C64-H3-E60-Anone-pct0.2-P0.5-456`	`CLTL-C64-H3-E60-Anone-%0.2-P0.5-456`
`CLTL-C64-H3-E60-Anone-pct0.2-P0.5-999`	`CLTL-C64-H3-E60-Anone-%0.2-P0.5-999`
`CLTL-C64-H3-E60-Arandom-pct0.1-P0.5-123`	`CLTL-C64-H3-E60-Arandom-%0.1-P0.5-123`
`CLTL-C64-H3-E60-Arandom-pct0.1-P0.5-42`	`CLTL-C64-H3-E60-Arandom-%0.1-P0.5-42`
`CLTL-C64-H3-E60-Arandom-pct0.1-P0.5-456`	`CLTL-C64-H3-E60-Arandom-%0.1-P0.5-456`
`CLTL-C64-H3-E60-Arandom-pct0.25-P0.2-123`	`CLTL-C64-H3-E60-Arandom-%0.25-P0.2-123`
`CLTL-C64-H3-E60-Arandom-pct0.25-P0.2-999`	`CLTL-C64-H3-E60-Arandom-%0.25-P0.2-999`
`CLTL-C64-H3-E60-Aukn-pct0.1-P0.2-123`	`CLTL-C64-H3-E60-Aukn-%0.1-P0.2-123`
`CLTL-C64-H3-E60-Aukn-pct0.1-P0.2-42`	`CLTL-C64-H3-E60-Aukn-%0.1-P0.2-42`
`CLTL-C64-H3-E60-Aukn-pct0.1-P0.2-456`	`CLTL-C64-H3-E60-Aukn-%0.1-P0.2-456`
`CLTL-C64-H3-E60-Aukn-pct0.1-P0.2-999`	`CLTL-C64-H3-E60-Aukn-%0.1-P0.2-999`
`CLTL-C64-H3-E60-Aukn-pct0.1-P0.5-123`	`CLTL-C64-H3-E60-Aukn-%0.1-P0.5-123`
`CLTL-C64-H3-E60-Aukn-pct0.1-P0.5-42`	`CLTL-C64-H3-E60-Aukn-%0.1-P0.5-42`
`CLTL-C64-H3-E60-Aukn-pct0.1-P0.5-456`	`CLTL-C64-H3-E60-Aukn-%0.1-P0.5-456`
`CLTL-C64-H3-E60-Aukn-pct0.1-P0.5-999`	`CLTL-C64-H3-E60-Aukn-%0.1-P0.5-999`