Fill-Mask
Transformers
Safetensors
Arabic
bert
medical
arabic
biomedical
clinical-nlp
domain-adaptation
ner
text-classification
question-answering
mena
low-resource
Instructions to use Vionex-digital/vioBERT-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vionex-digital/vioBERT-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Vionex-digital/vioBERT-v3")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Vionex-digital/vioBERT-v3") model = AutoModelForMaskedLM.from_pretrained("Vionex-digital/vioBERT-v3") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
fix: properly credit AHD (Mendeley/Kaggle) + Shifaa (Ahmed-Selem) + Wikipedia + WHO sources. Vionex did not author these corpora; only model weights and methodology are ours.
385c4a7 verified