**DeepSE**: **Sentence Embeddings** based on Deep Nerual Networks, designed for **PRODUCTION** enviroment!
Project description
DeepSE
DeepSE: Sentence Embeddings based on Deep Nerual Networks, designed for PRODUCTION enviroment!
Installation
Clone git repo:
git clone https://github.com/luozhouyang/deepse.git
or install from pypi:
pip install -U deepse
SimCSE
Train a Unsup SimCSE model in one line:
PRETRAINED_MODEL_PATH=/path/to/your/pretrained/bert/dir python run_simcse.py
You can modify the parameters in
run_simcse.pyas you need.
Project details
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file deepse-0.0.1.tar.gz.
File metadata
- Download URL: deepse-0.0.1.tar.gz
- Upload date:
- Size: 10.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fb5eef158b781688839d6a4b131f819126ffdb295cdf7fe8389c703b50ac7311
|
|
| MD5 |
e9383db8dea6b5fe4b6fb8e16f1ef396
|
|
| BLAKE2b-256 |
26a0b8d0236c2b31943cc9537194abea82f485973636b179b5c87d396c684371
|
File details
Details for the file deepse-0.0.1-py3-none-any.whl.
File metadata
- Download URL: deepse-0.0.1-py3-none-any.whl
- Upload date:
- Size: 13.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
82dd9e37e08402ede4fda7f4e9c68fe8d9c49cb561346499e7a8117715a1f1bf
|
|
| MD5 |
7c205674de8263f499ea553feffbb512
|
|
| BLAKE2b-256 |
4c3d9b6d99fa825ec4571d4953df49cf1d786f7cde045576832641b9f12f9ab5
|