Downloads · 30 days
79
4% of all-time downloads
scibert_scivocab_uncased
Xenova/scibert_scivocab_uncased
scibert_scivocab_uncased is a feature extraction model from Xenova. Use it when you need embeddings to search or compare text. It is set up for transformers.js.
https://huggingface.co/allenai/scibertscivocabuncased with ONNX weights to be compatible with Transformers.js.
All-time downloads
2.2K
Public
Repo size
1.4 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.onnx1.4 GB · 100%
At a glance
- Task
- Feature Extraction
- Library
- transformers.js
- Model type
- bert
- Access
- Public
- Created
- May 31, 2023
- Updated
- Jul 22, 2025
- SHA
- 83643d03
Base models
Model card
From the Hugging Face model README
https://huggingface.co/allenai/scibert_scivocab_uncased 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: Run feature extraction.
import { pipeline } from '@huggingface/transformers';
const extractor = await pipeline('feature-extraction', 'Xenova/scibert_scivocab_uncased');
const output = await extractor('This is a simple test.');
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
- Feature Extraction
- Library
- transformers.js
- Type
- bert
- Created
- May 31, 2023
- Updated
- Jul 22, 2025