A general DNABERT implementation using the deepbio-toolkit.
Project description
DNABERT
A complete DNABERT implementation in Pytorch using th deepbio-toolkit library.
Model Configuration
Template model configurations can be generated using the dbtk model config command.
Pre-training
The model can be pre-trained using the supplied configurations with the command:
dbtk model fit -c configs/768d.yaml ./logs/768d
Exporting
The trained model can be exported to a Huggingface model with the following command.
dbtk model export ./logs/768d/last.ckpt ./exports/768d
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file dbtk_dnabert-1.2.1.tar.gz.
File metadata
- Download URL: dbtk_dnabert-1.2.1.tar.gz
- Upload date:
- Size: 6.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7e1c1fae43ed3ecad2f4ce4690af25f1272205aa4d9bccc0dda3e9c6eb8bbe3f
|
|
| MD5 |
20b3c2b425bcc4a0ffee62f86db471fd
|
|
| BLAKE2b-256 |
d9deb44a05ddec55fdc2583f39edef4077fed748efb69aaa115edcd4e3888e88
|
File details
Details for the file dbtk_dnabert-1.2.1-py3-none-any.whl.
File metadata
- Download URL: dbtk_dnabert-1.2.1-py3-none-any.whl
- Upload date:
- Size: 7.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
edb2a8b11324a8c1d3546c9b2c0237849f18b05fbb061ef0e623bb136b951ad3
|
|
| MD5 |
de16d9e910b1928793a7b8384d3be106
|
|
| BLAKE2b-256 |
f24903e3bf80e2a4d22025e8e2f72610ddf4088a1cfe2bd9e950a3870eebc492
|