semvec/pypi-packages huggingface dataset:
fabrique 0.3.0
Foundation for modern ML research
Requires Python: >=3.12

# fabrique

_fabrique_ provides foundation components for ML research in LLM/VLM space, including:

* model implementations
* fine-tuning routines and examples
* multi-GPU execution
* interoperability with broader ecosystem

_fabrique_ is written in JAX/Flax NNX and follows their [philosophy](PHILOSOPHY.md).

## Installation

You can install the latest released version of _fabrique_ from PYPI:

```bash
pip install fabrique
```

Alternatively, you can mount the development version of _fabrique_ directly to your project and use existing code as reference for your own models:

```bash
cd /path/to/your/project

# clone the repository
mkdir lib
git clone https://github.com/ridcl/fabrique lib/fabrique

# or even add it as a submodule
# git submodule add git@github.com:ridlc/fabrique.git lib/fabrique

# set up PYTHONPATH to include fabrique as a package
export PYTHONPATH=${PYTHONPATH}:lib/fabrique/src
```


## Usage

TODO


## Model support

As of now, _fabrique_ focuses on Gemma as its primary LLM/VLM implementation. Previously, _fabrique_ also supported Llama 3, Phi 3/4 and Qwen 2.5. You can find these old implementations in [legacy/src/fabrique/models](legacy/src/fabrique/models).
supermaker-ai-image-master 1.0.1766489833
Generate branded links and HTML anchors for https://supermaker.ai/image/
Requires Python: >=3.6

# supermaker-ai-image-master

Generate branded links and HTML anchors for [https://supermaker.ai/image/](https://supermaker.ai/image/).

## Installation

```bash
pip install supermaker-ai-image-master
```

## Usage

### Generate Links

```python
from supermaker_ai_image_master import build_link

# Basic link
url = build_link()

# Link with UTM parameters
url = build_link(
    utm_source="github",
    utm_medium="readme",
    utm_campaign="launch"
)

# Link with path
url = build_link(path="features", utm_source="blog")
```

### Generate HTML Anchors

```python
from supermaker_ai_image_master import generate_anchor

# Basic anchor
html = generate_anchor("Click here")

# Custom attributes
html = generate_anchor(
    text="Visit website",
    utm_source="twitter",
    utm_medium="social",
    utm_campaign="promotion",
    css_class="btn btn-primary"
)
```

## Official Website

[https://supermaker.ai/image/](https://supermaker.ai/image/)
supermaker-ai-video-downloader 1.0.1766489799
Generate branded links and HTML anchors for https://supermaker.ai/video/
Requires Python: >=3.6

# supermaker-ai-video-downloader

Generate branded links and HTML anchors for [https://supermaker.ai/video/](https://supermaker.ai/video/).

## Installation

```bash
pip install supermaker-ai-video-downloader
```

## Usage

### Generate Links

```python
from supermaker_ai_video_downloader import build_link

# Basic link
url = build_link()

# Link with UTM parameters
url = build_link(
    utm_source="github",
    utm_medium="readme",
    utm_campaign="launch"
)

# Link with path
url = build_link(path="features", utm_source="blog")
```

### Generate HTML Anchors

```python
from supermaker_ai_video_downloader import generate_anchor

# Basic anchor
html = generate_anchor("Click here")

# Custom attributes
html = generate_anchor(
    text="Visit website",
    utm_source="twitter",
    utm_medium="social",
    utm_campaign="promotion",
    css_class="btn btn-primary"
)
```

## Official Website

[https://supermaker.ai/video/](https://supermaker.ai/video/)