Fill-Mask
Transformers
Safetensors
English
bert
feature-extraction
clinical
healthcare
NLP
BERT
MIMIC-IV
MedNLI
transformer
custom_code
Eval Results (legacy)
Instructions to use Sifal/ClinicalMosaic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sifal/ClinicalMosaic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Sifal/ClinicalMosaic", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Sifal/ClinicalMosaic", trust_remote_code=True) model = AutoModel.from_pretrained("Sifal/ClinicalMosaic", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Ctrl+K