semvec/pypi-packages huggingface dataset:
ru-cv-parser 1.0.0
Python module for parsing Russian CVs and extracting information from them
License: Apache License, Version 2.0
Requires Python: >=3.6

Russian custom spaCy model for ner cv. Based on `ru_core_news_md`. Trained on 1300 cv.

## Description

| Feature | Description |
| --- | --- |
| **Name** | `ru_cv_parse_model` |
| **Version** | `1.0.0` |
| **spaCy** | `>=3.7.4,<3.8.0` |
| **Components** | `tok2vec`, `ner` |
| **Sources** | [ru_core_news_md](https://huggingface.co/spacy/ru_core_news_md) |
| **License** | `Apache License 2.0` |
| **Author** | [Idimab](https://github.com/FistFonI) |
| **Model size** | 109 MB |
 
## Label

| Component | labels |
| --- | --- |
| **`ner`** | `age`, `education`, `fio`, `gender`, `org`, `title`, `work_date`, `work_exp` |

## Accuracy

| Type | Score |
| --- | --- |
| **`ENTS_F`** | 99.89 |
| **`ENTS_P`** | 99.91 |
| **`ENTS_R`** | 99.87 |

## Installation

To install a model, use CLI.
```bash
pip install https://github.com/FistFonI/idimab-spacy/releases/download/ru_cv_parse_model-1.0.0/ru_cv_parse_model-1.0.0.tar.gz
```