PyTorch-Models
This repo aims at providing both reusable PyTorch Models and servable pre-trained models, which could easily integrated into your projects.
Install
Usage Guide
Import
Examples
Models
Citation
Contribution
Please submit PR if you want to contribute, or submit issues for new model requirements.
Release files for torch-models 0.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| torch-models-0.0.7.tar.gz | 1.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| torch_models-0.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.9 kB
Release files / torch-models-0.0.7.tar.gz
| Download URL | torch-models-0.0.7.tar.gz |
|---|---|
| Size | 1.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.6
|
Release files / torch_models-0.0.7-py3-none-any.whl
| Download URL | torch_models-0.0.7-py3-none-any.whl |
|---|---|
| Size | 6.1 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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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.6
|