A CLI and library for interacting with the Weights and Biases API.
Project description
# Weights and Biases
[](https://circleci.com/gh/wandb/client) [](https://pypi.python.org/pypi/wandb) [](https://coveralls.io/github/wandb/client?branch=master)
A CLI and library for interacting with the Weights and Biases API. Read more at our [documentation](http://wb-client.readthedocs.io/en/latest)!
## Features
This library provides a CLI and python library for the [Weights & Biases](https://wanbd.ai) machine learning model management platform. It simplifies uploading or downloading files via the command line or directly in your training code.
## Examples
CLI Usage:
```shell
cd myproject
# Initialize a directory
wandb init
# Push files to W&B
wandb push bucket model.json weights.h5
# Pull files from canonical models
wandb pull zoo/inception-v4
# Sync training logs and push files when they change
./training_script.sh | wandb project/bucket model.json weights.h5
```
Client Usage:
```python
import wandb
conf = wandb.Config()
client = wandb.Api()
if conf.turbo:
print("TURBO MODE!!!")
client.push("my_model", files=[open("some_file", "rb")])
```
[](https://circleci.com/gh/wandb/client) [](https://pypi.python.org/pypi/wandb) [](https://coveralls.io/github/wandb/client?branch=master)
A CLI and library for interacting with the Weights and Biases API. Read more at our [documentation](http://wb-client.readthedocs.io/en/latest)!
## Features
This library provides a CLI and python library for the [Weights & Biases](https://wanbd.ai) machine learning model management platform. It simplifies uploading or downloading files via the command line or directly in your training code.
## Examples
CLI Usage:
```shell
cd myproject
# Initialize a directory
wandb init
# Push files to W&B
wandb push bucket model.json weights.h5
# Pull files from canonical models
wandb pull zoo/inception-v4
# Sync training logs and push files when they change
./training_script.sh | wandb project/bucket model.json weights.h5
```
Client Usage:
```python
import wandb
conf = wandb.Config()
client = wandb.Api()
if conf.turbo:
print("TURBO MODE!!!")
client.push("my_model", files=[open("some_file", "rb")])
```
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