| --- |
| tags: |
| - named-entity-recognition |
| - clinical-nlp |
| - multiclinner |
| - multi-head-crf |
| - token-classification |
| language: |
| - multilingual |
| license: apache-2.0 |
| --- |
| |
| # 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` | | |
|
|
