Token Classification
Transformers
Safetensors
English
longformer
medical
icd10
medical coding
clinical
healthcare
icd10dx
CAC
Instructions to use imperiumhf/imp_clinical_dxcode_ner_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imperiumhf/imp_clinical_dxcode_ner_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="imperiumhf/imp_clinical_dxcode_ner_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("imperiumhf/imp_clinical_dxcode_ner_v2") model = AutoModelForTokenClassification.from_pretrained("imperiumhf/imp_clinical_dxcode_ner_v2") - Notebooks
- Google Colab
- Kaggle
Commit History
changed model path b4775a7
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