This is an adaptation of the original MirrorBERT repository, with minor tweaks to use it within the Abi2le project. Original repo description: Code repo for the EMNLP 2021 paper: Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders by Fangyu Liu, Ivan Vulić, Anna Korhonen, and Nigel Collier.
Project description
The author of this package has not provided a project description
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
Built Distribution
File details
Details for the file abi2le_mirror_bert_colinglab-0.0.1.tar.gz.
File metadata
- Download URL: abi2le_mirror_bert_colinglab-0.0.1.tar.gz
- Upload date:
- Size: 7.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 028e3c119adda72dbee0c1e4375f0ef5fb5a91ab127905e188a3418917f34be0 |
|
| MD5 | a69b703bfd0db0da06dc03859e8e6846 |
|
| BLAKE2b-256 | d50701f1b6185ec4d9cc0e2a536e374c2c9637b6add231549cd6ac10065d0f59 |
File details
Details for the file abi2le_mirror_bert_colinglab-0.0.1-py3-none-any.whl.
File metadata
- Download URL: abi2le_mirror_bert_colinglab-0.0.1-py3-none-any.whl
- Upload date:
- Size: 7.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a9fde70601b4af55df783b2af39b2ddf6b859e9757d2c562f91e3f77202f73d7 |
|
| MD5 | d19aad51c8fb86376c64559c39ccd95e |
|
| BLAKE2b-256 | 47cd648a8b91906104fe6314e03ccc915708449994b5c7f19458b00d5aa0c2d7 |
