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Bio_ClinicalBERT
Xenova/Bio_ClinicalBERT
Bio_ClinicalBERT is a fill-mask model from Xenova. Use it when you need the model to fill a missing word. It is set up for transformers.js.
https://huggingface.co/emilyalsentzer/BioClinicalBERT with ONNX weights to be compatible with Transformers.js.
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.onnx1.4 GB · 100%
At a glance
- Task
- Fill-Mask
- Library
- transformers.js
- Model type
- bert
- Access
- Public
- Created
- May 31, 2023
- Updated
- Jul 26, 2025
- SHA
- 978392c3
Try a prompt
Base models
Model card
From the Hugging Face model README
https://huggingface.co/emilyalsentzer/Bio_ClinicalBERT with ONNX weights to be compatible with Transformers.js.
Usage (Transformers.js)
If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
npm i @huggingface/transformers
Example: Perform masked language modelling (a.k.a. "fill-mask").
import { pipeline } from '@huggingface/transformers';
const unmasker = await pipeline('fill-mask', 'Xenova/Bio_ClinicalBERT');
const output = await unmasker('The goal of life is [MASK].');
Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named onnx).
- Task
- Fill-Mask
- Library
- transformers.js
- Type
- bert
- Created
- May 31, 2023
- Updated
- Jul 26, 2025