sticker
Library Archived
Neural sequence labeler, superseded by SyntaxDot
- Downloads
- 21
- Dependents
- 0
- Stars
- 26
- Forks
- 2
- Contributors
- 3
- Commits
- 206
- Latest release
- 0.5.1 ·
Why Archived
GitHub reports the repository as archived.
Check notes
- release commit dfd445fa47fac1fb534ad3af84e507d0b1589931 is absent from the repo
Exact rules: Instant archive. The check on applied thresholds version 9.
Every rule outcome, as the check records it
instant-archive: repository is archived
About
Warning: sticker is succeeded by SyntaxDot, which supports many new features:
- Multi-task learning.
- Pretrained transformer models, suchs as BERT and XLM-R.
- Biaffine parsing in addition to parsing as sequence labeling.
- Lemmatization.
sticker is a sequence labeler using neural networks.
Introduction
sticker is a sequence labeler that uses either recurrent neural networks, transformers, or dilated convolution networks. In principle, it can be used to perform any sequence labeling task, but so far the focus has been on:
- Part-of-speech tagging
- Topological field tagging
- Dependency parsing
- Named entity recognition
Features
- Input representations:
- finalfusion embeddings with subword units
- Bidirectional byte LSTMs
- Hidden representations:
- Bidirectional recurrent neural networks (LSTM or GRU)
- Transformers
- Dillated convolutions
- Classification layers:
- Softmax (best-N)
- CRF
- Deployment:
- Standalone binary that links against
libtensorflow - Very liberal license
- Docker containers with models
- Standalone binary that links against
Read the full README
Status
sticker is almost production-ready and we are preparing for release 1.0.0. Graphs and models crated with the current version must work with sticker 1.x.y. There may still be breaking API or configuration file changes until 1.0.0 is released.
Where to go from here
References
sticker uses techniques from or was inspired by the following papers:
- Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation. Wang Ling, Chris Dyer, Alan W Black, Isabel Trancoso, Ramón Fermandez, Silvio Amir, Luís Marujo, Tiago Luís, 2015, Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
- Transition-based dependency parsing with topological fields. Daniël de Kok, Erhard Hinrichs, 2016, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics
- Viable Dependency Parsing as Sequence Labeling. Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez, 2019, Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Issues
You can report bugs and feature requests in the sticker issue tracker.
License
sticker is licensed under the Blue Oak Model License version
1.0.0. The Tensorflow protocol buffer definitions in
tf-proto are licensed under the Apache License version 2.0. The
list of contributors is also available.
Credits
- sticker is developed by Daniël de Kok & Tobias Pütz.
- The Python precursor to sticker was developer by Erik Schill.
- Sebastian Pütz and Patricia Fischer reviewed a lot of code across the sticker projects.
Compatibility
- Runs on
- CUDA
What shows it
- CUDA: sticker2 dependency tch, sticker2-utils dependency tch
- Native code
- Required
- Binds native code: sentencepiece-sys, torch-sys, hdf5-sys (feature load-hdf5)
- Python bindings
- No Python binding crate found
- License
- Not measured
Compare with similar projects
Order: strongest tier first, then most downloads, then name, with unmeasured values last. A library counts downloads over 30 days. An app counts binary downloads per release. An app with none counts its crate downloads over 30 days. ML Rust runs this catalogue, so its closest project always gets a row.
| Project | Downloads | Dependents | Stars | Latest release | Runs on (GPU) | Native code | License |
|---|---|---|---|---|---|---|---|
|
Neural sequence labeler, superseded by SyntaxDot |
21 downloads over 30 days | 0 | 26 | 0.5.1 | CUDA | Binds native code: sentencepiece-sys, torch-sys, hdf5-sys (feature load-hdf5) | Not measured |
|
tokenizers Featured
Fastest implementation of the most used tokenizers in AI. |
7,490,451 downloads over 30 days | 1,021 | 11,230 | 0.23.2 | GPU support unknown | Binds native code: tikv-jemalloc-sys, onig_sys (feature default) | Apache-2.0 |
|
tiktoken-rs Featured
Library for encoding and decoding with the tiktoken library in Rust |
3,939,182 downloads over 30 days | 449 | 410 | 0.12.1 | GPU support unknown | No native code found | MIT |
|
rust-stop-words Featured
Common stop words in many languages |
2,153,034 downloads over 30 days | 25 | 26 | 0.10.1 | GPU support unknown | No native code found | Apache-2.0 OR MIT |
|
splintr Listed
Tokenizer for Rust and Python: pure Rust by default, with 18 bundled vocabularies and four backends covering BPE, SentencePiece and WordPiece. Its output matches Hugging Face tokenizers id for id on 14 model families, including GPT-2, Qwen, Whisper, T5 and BERT. Python bindings |
8,204 downloads over 30 days | 7 | 63 | 0.22.2 | GPU support unknown | Binds native code: pcre2-sys (feature pcre2) | MIT |
|
syntaxdot Archived
Neural sequence labeler |
16 downloads over 30 days | 0 | 81 | 0.5.0 | CUDA | Binds native code: sentencepiece-sys, torch-sys | Apache-2.0 OR MIT |
|
Neural network transition-based dependency parser (in Rust) |
Not measured | Not applicable | 44 | Not measured | Not measured | Not measured | Apache-2.0 |
Crates2 crates
- sticker2 Primary
- sticker2-utils
Measurements and sources
Each signal row shows the raw value, its source and the fetch date. The Sources list gathers every distinct source on this page. Movement needs more history.
Sources6 sources
- Description: the crates.io description
- crates.io database dump, fetched
- RustSec advisory database, fetched
- GitHub repository, fetched
- crates.io package, fetched
- GitHub contributors, fetched
Adoption0 active dependents, 0 new dependents in 365 days1 not measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Active dependents | 0 | crates.io database dump | Yes | |
| New dependents (365 days) | 0 | crates.io database dump | Yes | |
| Peak active dependents | 0 | crates.io database dump | Yes | |
| Active dependents as a share of the peak | 1 | crates.io database dump | Yes | |
| Binary downloads per release | Not measured | Yes |
MaintenanceLatest human commit: 5 years ago3 not measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Latest human commit | 2021-03-19 | GitHub repository | Yes | |
| Latest release | 2020-12-18 | crates.io database dump | Yes | |
| First release | 2020-05-19 | crates.io database dump | Yes | |
| Latest version | 0.5.1 | crates.io database dump | Yes | |
| Days the oldest outside issue waits for a reply | 0 | GitHub repository | Yes | |
| Maintainer replies over 365 days | 0 | GitHub repository | Yes | |
| Repository archived | true | GitHub repository | Yes | |
| Repository gone | false | GitHub repository | Yes | |
| Release commit or manifest in the repo | false | crates.io package | Yes | |
| Published docs | false | crates.io database dump | Yes | |
| Latest release fails cargo check | Not measured | Yes | ||
| Build check date | Not measured | Yes | ||
| Build check toolchain | Not measured | Yes |
SecurityUnpatched vulnerabilities: none
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Unpatched vulnerabilities past the grace window | none | RustSec advisory database | Yes | |
| RustSec unmaintained advisory | none | RustSec advisory database | Yes | |
| Deprecation notice | none | crates.io database dump | Yes | |
| Deprecated requirement | none | crates.io database dump | Yes |
Distribution6 releases, 21 downloads over 30 days5 not measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Releases | 6 | crates.io database dump | Yes | |
| Downloads over 30 days | 21 | crates.io database dump | Yes | |
| Binary downloads over the last 3 releases | Not measured | Yes | ||
| Homebrew installs on request over 365 days | Not measured | Yes | ||
| Repology repository families | Not measured | Yes | ||
| Docker pull growth over 90 days | Not measured | Yes | ||
| Docker pulls at the growth baseline | Not measured | Yes | ||
| Every version a prerelease | false | crates.io database dump | Yes | |
| Every version 0.0.x | false | crates.io database dump | Yes | |
| Every version yanked | false | crates.io database dump | Yes | |
| Crate deleted from crates.io | false | crates.io database dump | Yes |
Repository26 stars, 2 forks, 3 contributors, 206 commits. Stars alone never qualify a project.
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| GitHub stars | 26 | GitHub repository | Yes — one part of the repository route | |
| GitHub forks | 2 | GitHub repository | Yes — one part of the repository route | |
| Contributors with a GitHub account | 3 | GitHub contributors | Yes — one part of the repository route | |
| Commits on the default branch | 206 | GitHub repository | No | |
| Repository's main crate left out of the entry | none | crates.io database dump | Yes |
Facts that never count
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| License | Not measured | No | ||
| Runs on, from listed crates and their direct dependencies | CUDA | crates.io database dump | No | |
| What shows each backend | CUDA: sticker2 dependency tch, sticker2-utils dependency tch | crates.io database dump | No | |
| Native code, from listed crates and their dependencies | Binds native code: sentencepiece-sys, torch-sys, hdf5-sys (feature load-hdf5) | crates.io database dump | No | |
| Python bindings, from direct dependencies of listed crates | No Python binding crate found | crates.io database dump | No | |
| Crates that depend on a listed crate directly | 0 | crates.io database dump | No |
Corrections and review history
No correction applies to this entry.
Judgments
A judgment enters only through an approved issue and a merged pull request.
No judgment applies to this entry.