Text Classification
Transformers
Safetensors
PyTorch
biogpt-icd10
medical
icd-10
classification
biogpt
clinical-notes
healthcare
multi-label
medical-coding
discharge-summaries
clinical-nlp
Instructions to use Medhatvv/biogpt_icd10_enhanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Medhatvv/biogpt_icd10_enhanced with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Medhatvv/biogpt_icd10_enhanced")# Load model directly from transformers import BioGPTForICD10Classification model = BioGPTForICD10Classification.from_pretrained("Medhatvv/biogpt_icd10_enhanced", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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