sparv-sbx-word-prediction-kb-bert
Plugin for applying bert masking as a Sparv annotation.
Install
First, install Sparv, as suggested:
pipx install sparv-pipeline
Then install install sparv-sbx-word-prediction-kb-bert with
pipx inject sparv-pipeline sparv-sbx-word-prediction-kb-bert
Usage
Depending on how many explicit exports of annotations you have you can decide to use this
annotation exclusively by adding it as the only annotation to export under xml_export:
xml_export:
annotations:
- <token>:sbx_word_prediction_kb_bert.word-prediction--kb-bert
To use it together with other annotations you might add it under export:
export:
annotations:
- <token>:sbx_word_prediction_kb_bert.word-prediction--kb-bert
...
Configuration
You can configure this plugin by the number of neighbours to generate.
Number of Neighbours
The number of neighbours defaults to 5 but can be configured in config.yaml:
sbx_word_prediction_kb_bert:
num_neighbours: 5
Number of Decimals
The number of decimals defaults to 3 but can be configured in config.yaml:
sbx_word_prediction_kb_bert:
num_decimals: 3
[!NOTE] This also controls the cut-off, so all values where the score round to 0.000 (or the number of decimals) is discarded.
Metadata
Model
| Type | HuggingFace Model | Revision |
|---|---|---|
| Model | KBLab/bert-base-swedish-cased |
c710fb8dff81abb11d704cd46a8a1e010b2b022c |
| Tokenizer | same as Model | same as Model |
Changelog
This project keeps a changelog.
Metadata
Release files for sparv-sbx-word-prediction-kb-bert 0.6.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sparv_sbx_word_prediction_kb_bert-0.6.1.tar.gz | 13.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sparv_sbx_word_prediction_kb_bert-0.6.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.7 kB
Release files / sparv_sbx_word_prediction_kb_bert-0.6.1.tar.gz
| Download URL | sparv_sbx_word_prediction_kb_bert-0.6.1.tar.gz |
|---|---|
| Size | 13.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
592a5af0245d3e3b676bf7564ae0bb0e24e770863c9f3b053d9ce732e887eba1
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Yes |
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twine/5.1.1 CPython/3.12.7
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Transparency logRelease files / sparv_sbx_word_prediction_kb_bert-0.6.1-py3-none-any.whl
| Download URL | sparv_sbx_word_prediction_kb_bert-0.6.1-py3-none-any.whl |
|---|---|
| Size | 7.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
09924569fed41f8a1c8440352df43c2f3810feeda83043bee6867a5312d3731e
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|
Provenance
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PyPI Publish Attestation
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Signed by GitHub Actions, verified by PyPI on Nov 22, 2024.
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