---
tags:
- spacy
- token-classification
language:
- multilingual
widget:
- text: I'm looking for courses in machine learning.
  example_title: Course example
- text: Can you send me some sales jobs?
  example_title: Job example
- text: I'm from Berlin, Germany. Can you recommend courses to me?
  example_title: Location example
- text: >-
    Next month I will be moving to London. I'm looking for software development
    jobs there. And can you recommend any language courses so I can meet new
    people?
  example_title: Mixed example
model-index:
- name: xx_eb_ner
  results:
  - task:
      name: NER
      type: token-classification
    metrics:
    - name: NER Precision
      type: precision
      value: 0.99471974
    - name: NER Recall
      type: recall
      value: 0.9937070263
    - name: NER F Score
      type: f_score
      value: 0.9942131253
license: mit
library_name: spacy
---


| Feature              | Description                                           |
| ---                  | ---                                                   |
| **Name**             | `xx_eb_ner`                                           |
| **Version**          | `0.2.0`                                               |
| **spaCy**            | `>=3.6.1,<3.7.0`                                      |
| **Default Pipeline** | `tok2vec`, `ner`                                      |
| **Components**       | `tok2vec`, `ner`                                      |
| **Vectors**          | 0 keys, 0 unique vectors (0 dimensions)               |
| **Sources**          | n/a                                                   |
| **License**          | mit                                                   |
| **Author**           | [philipp-zettl](https://huggingface.co/philipp-zettl) |


### Label Scheme

<details>

<summary>View label scheme (3 labels for 1 components)</summary>

| Component | Labels |
| --- | --- |
| **`ner`** | `COURSE_NAME`, `JOB_TITLE`, `LOCATION` |

</details>

### Accuracy

| Type           | Score    |
| ---            | ---      |
| `ENTS_F`       | 99.54    |
| `ENTS_P`       | 99.56    |
| `ENTS_R`       | 99.52    |
| `TOK2VEC_LOSS` | 35345.94 |
| `NER_LOSS`     | 32265.61 |



### Usage
Install the model via pip:
```shell
pip install https://huggingface.co/philipp-zettl/xx_eb_ner/resolve/main/xx_eb_ner-any-py3-none-any.whl
```

For specific versions, please use the commits provided in the [source repository](https://huggingface.co/philipp-zettl/xx_eb_ner).
Example: version v0.2.0
```shell
pip install https://huggingface.co/philipp-zettl/xx_eb_ner/resolve/v0.2.0/xx_eb_ner-any-py3-none-any.whl
```

After installing the model with it's dependencies, you can use it like any other SpaCy model:
```python
# Using spacy.load().
import spacy
nlp = spacy.load("xx_eb_ner")

# Importing as module.
import xx_eb_ner
nlp = xx_eb_ner.load()
```