Curated transformer models
Project description
🤖 Curated transformers
This Python package provides a curated set of transformer models for spaCy. It is focused on deep integration into spaCy and will support deployment-focused features such as distillation and quantization. Curated transformers currently supports the following model types:
- ALBERT
- BERT
- CamemBERT
- RoBERTa
- XLM-RoBERTa
Supporting a wide variety of transformer models is a non-goal. If you want
to use another type of model, use
spacy-transformers
, which
allows you to use Hugging Face
transformers
models with spaCy.
⚠️ Warning: experimental package
This package is experimental and it is possible that the models will still change in incompatible ways.
⏳ Install
pip install spacy-curated-transformers
🚀 Quickstart
An example project is provided in the project
directory.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Hashes for spacy-curated-transformers-0.0.8.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 179e8497c73589ce3df86401dad9301bbd7a0d1a70979777354fb4d21bc27a15 |
|
MD5 | eeeb75dc9550b857bfeddfde000375cb |
|
BLAKE2b-256 | b06699c785ec1d4ec244661ca2ce887e997c32ce9c1a1301f865205e168afc28 |