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mkdocs.yml
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site_name: Mlflow Extensions Docs
site_description: Mlflow Extensions is a library that helps you extend the capabilities of Mlflow by providing a set of
tools to help you build and deploy your machine learning models.
theme:
name: material
custom_dir: docs/overrides
palette:
- scheme: default
primary: indigo
accent: indigo
toggle:
icon: material/brightness-7
name: Switch to dark mode
- scheme: slate
primary: indigo
accent: indigo
toggle:
icon: material/brightness-4
name: Switch to light mode
features:
- content.code.annotate
- content.action.edit
- content.action.view
- content.tooltips
- content.code.copy
- navigation.indexes
- navigation.instant
- navigation.instant.progress
- navigation.tabs
- navigation.tabs.sticky
- navigation.top
- navigation.tracking
- navigation.expand
- search.highlight
- search.share
- search.suggest
- toc.follow
font:
text: Roboto
code: Roboto Mono
language: en
repo_name: stikkireddy/mlflow-extensions
repo_url: https://github.com/stikkireddy/mlflow-extensions
edit_uri: edit/main/docs/
plugins:
- search:
lang: en
- mkdocs-jupyter:
ignore_h1_titles: True
include_source: True
markdown_extensions:
- abbr
- admonition
- attr_list
- def_list
- footnotes
- md_in_html
- toc:
permalink: true
- pymdownx.arithmatex:
generic: true
- pymdownx.betterem:
smart_enable: all
- pymdownx.caret
- pymdownx.details
- pymdownx.emoji:
emoji_generator: !!python/name:materialx.emoji.to_svg
emoji_index: !!python/name:materialx.emoji.twemoji
- pymdownx.highlight:
anchor_linenums: true
- pymdownx.inlinehilite
- pymdownx.keys
- pymdownx.magiclink:
repo_url_shorthand: true
user: squidfunk
repo: mkdocs-material
- pymdownx.mark
- pymdownx.smartsymbols
- pymdownx.superfences:
custom_fences:
- name: mermaid
class: mermaid
format: !!python/name:pymdownx.superfences.fence_code_format
- pymdownx.tabbed:
alternate_style: true
- pymdownx.tasklist:
custom_checkbox: true
- pymdownx.tilde
- pymdownx.snippets
nav:
- About: index.md
- Getting Started:
- Setup: getting-started/setup.md
- EzDeployLite (dev/test): getting-started/ezdeploylite.md
- EzDeploy (prod): getting-started/ezdeploy.md
- JSON Mode (Guided Decoding): getting-started/guided-decoding.md
- Vision Models: getting-started/vision-models.md
- Audio Models: getting-started/audio-models.md
- Tool calling [TBD]: getting-started/tool-calling.md
- Using Custom Engines: getting-started/custom-engines.md
- SGLang SDK [TBD]: getting-started/sglang-runtime.md
- Supported Models:
- Text Models: supported-models/text-models.md
- Vision Models: supported-models/vision-models.md
- Audio Models: supported-models/audio-models.md
- Embedding Models [TBD]: supported-models/embedding-models.md
- Architecture:
- EzDeploy Architecture: custom_server_architecture.md
- EzDeployLite Architecture: ezdeploy_lite_server_architecture.md
- Examples:
- Overview: examples/intro.md
- EzDeployLite [TBD]: examples/ezdeploylite/intro.md
- EzDeploy:
- Phi 3.5 Vision Instruct: examples/ezdeploy/01-getting-started-phi-3.5-vision-instruct.ipynb
- NuExtract Text Model: examples/ezdeploy/02-getting-started-nuextract.ipynb
- LLaVa 1.6 Vicuna: examples/ezdeploy/03-getting-started-llava-1.6-vicuna.ipynb
- Ultravox Audio Model: examples/ezdeploy/04-getting-started-ultravox.ipynb
- Aya 35b Cohere Model: examples/ezdeploy/05-getting-started-aya.ipynb
- Qwen2 VL Instruct: examples/ezdeploy/06-getting-started-qwen2-vl-instruct.ipynb