Fill-Mask
Transformers
PyTorch
Safetensors
English
modernbert
masked-lm
long-context
BioClinical-ModernBERT
clinical
biomedical
clinical encoder
clinical modern bert
Instructions to use thomas-sounack/BioClinical-ModernBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thomas-sounack/BioClinical-ModernBERT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="thomas-sounack/BioClinical-ModernBERT-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("thomas-sounack/BioClinical-ModernBERT-base") model = AutoModelForMaskedLM.from_pretrained("thomas-sounack/BioClinical-ModernBERT-base") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
8cdf3bc | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:763224fa377f2fdbf4cf2ed82a2a0cb6e79779bb5eb4720e430a21c46783d7e8
size 598664046
|