Intro biobert-bern
This file will become your README and also the index of your documentation.
Install
pip install biobert_bern
How to use
Grab functions from biobertApi notebook to use the BERN2 api that automatically labels biomedical words located in the block of text that you send it
Found My Fitness Example
Here we’ll try using elements from the biobertApi module to label biomedical terms in the comments section of a Found My Fitness youtube video that looks like this :
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Metadata
1 maintainer
Release files for biobert-bern 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| biobert-bern-0.0.1.tar.gz | 9.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| biobert_bern-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.2 kB
Release files / biobert-bern-0.0.1.tar.gz
| Download URL | biobert-bern-0.0.1.tar.gz |
|---|---|
| Size | 9.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.7.6
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Release files / biobert_bern-0.0.1-py3-none-any.whl
| Download URL | biobert_bern-0.0.1-py3-none-any.whl |
|---|---|
| Size | 9.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.7.6
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