Mosaic Model
Here I collected some online and offline models for text tagging.
🚀 Demo
🧐 Features
Here're some of the project's best features:
- Online model: Rake Based Model. 5-10 it/sec
- Offline models: Bart based model with summarisation. 1-5 it/sec
- API model: YandexGPT based model. 1-5 it/sec
🛠️ Installation Steps:
1. Installation
pip install mosaic-model
2. import
from mosaic-model.models.rake_based_model import TagsExtractor
3. Init tagger
tagger = TagsExtractor()
4. Get tags
tagger.extract(some_text)
1 maintainer
Release files for mosaic-model 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mosaic_model-0.1.4.tar.gz | 9.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mosaic_model-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 27.2 kB
Release files / mosaic_model-0.1.4.tar.gz
| Download URL | mosaic_model-0.1.4.tar.gz |
|---|---|
| Size | 9.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ab84bb7398b4a3e201bc1019974f42cbc40f27194810abc9579b5004a7a9a3ba
|
|
BLAKE2b-256 checksum How to use checksums |
2803cb907c83ae30223bfabae71829fb2594050e932efe80ba6aeb9f223318c6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.4.2 CPython/3.9.6 Darwin/23.3.0
|
Release files / mosaic_model-0.1.4-py3-none-any.whl
| Download URL | mosaic_model-0.1.4-py3-none-any.whl |
|---|---|
| Size | 17.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
66b2f7d6409000e088202f48e46b4ed0a7901805570716cb974983216a0dcad6
|
|
BLAKE2b-256 checksum How to use checksums |
31af809ada276a89bd2e9fed7ecf70f1a833b135752bff5af8fe4b912e55e303
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.4.2 CPython/3.9.6 Darwin/23.3.0
|
