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README.md

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+---
+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` |  |