💫 🤖 spaCy Curated Transformers

This package provides spaCy components and architectures to use a curated set of transformer models via curated-transformers in spaCy.

Features

Use pretrained models based on one of the following architectures to power your spaCy pipeline:
- ALBERT
- BERT
- CamemBERT
- RoBERTa
- XLM-RoBERTa
All the nice features supported by spacy-transformers such as support for Hugging Face Hub, multi-task learning, the extensible config system and out-of-the-box serialization
Deep integration into spaCy, which lays the groundwork for deployment-focused features such as distillation and quantization
Minimal dependencies

Installing the package from pip will automatically install all dependencies.

pip install spacy-curated-transformers

An example project is provided in the project directory.

📘 Layers and Model Architectures: Power spaCy components with custom neural networks
📗 CuratedTransformer: Pipeline component API reference
📗 Transformer architectures: Architectures and registered functions

Please use spaCy's issue tracker to report a bug, or open a new thread on the discussion board for any other issue.

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for spacy-curated-transformers 2.1.2
File	Size	Uploaded
spacy_curated_transformers-2.1.2.tar.gz	220.6 kB	Sep 30, 2024	Details

Table of built distributions (wheels) for spacy-curated-transformers 2.1.2
File	Interpreter	ABI	Platform	Reset
spacy_curated_transformers-2.1.2-py2.py3-none-any.whl 240.3 kB Sep 30, 2024	Python 2, Python 3	none	any	Details

Total release size: 460.9 kB

Download URL	spacy_curated_transformers-2.1.2.tar.gz
Size	220.6 kB
Tags	Source
SHA-256 checksum How to use checksums	`b39ad476a8cb23cc6c566b55b14808f34593c8b7849b26cc4718b71e106e9941`
BLAKE2b-256 checksum How to use checksums	`a0b75fc67a8a9291892abd77b763e399bc7bde2e341e2a2d21395679ba5f47b0`
Upload date	Sep 30, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.1.1 CPython/3.12.6`

Download URL	spacy_curated_transformers-2.1.2-py2.py3-none-any.whl
Size	240.3 kB
Tags	Python 2 Python 3
SHA-256 checksum How to use checksums	`d4d526d6554d2aa404118911295f154798387b8ef8a932338586535b70f13519`
BLAKE2b-256 checksum How to use checksums	`654a9c2b5d676f820e2d3672d8532def8a193e8cb9530824ce16b232b707c1a0`
Upload date	Sep 30, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/5.1.1 CPython/3.12.6`