Installation
Install using pip:
pip install git+https://github.com/houndry/barbet.git
Usage
See the options for making inferences with the command:
barbet --help
Run
barbet --input GCA_000006945.2.fna --output-dir outputs
Or using the large model:
barbet --input GCA_000006945.2.fna --output-dir outputs-large --large
Training
You can train the model on releases from GTDB or your own custom dataset. See the instructions in the documentation for preprocessing and training.
Credits
Robert Turnbull, Mar Quiroga, Gabriele Marini, Torsten Seemann, Wytamma Wirth
For more information contact: <wytamma.wirth@unimelb.edu.au>
Created using torchapp (https://github.com/rbturnbull/torchapp).
Metadata
Release files for Barbet 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| barbet-0.1.1.tar.gz | 26.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| barbet-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 56.0 kB
Release files / barbet-0.1.1.tar.gz
| Download URL | barbet-0.1.1.tar.gz |
|---|---|
| Size | 26.4 kB |
| Tags | Source |
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Release files / barbet-0.1.1-py3-none-any.whl
| Download URL | barbet-0.1.1-py3-none-any.whl |
|---|---|
| Size | 29.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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