refactor: convert providers to be installed via package

currently providers have a `pip_package` list. Rather than make our own form of python dependency management, we should use `pyproject.toml` files in each provider declaring the dependencies in a more trackable manner.
Each provider can then be installed using the already in place `module` field in the ProviderSpec, pointing to the directory the provider lives in
we can then simply `uv pip install` this directory as opposed to installing the dependencies one by one

Signed-off-by: Charlie Doern <cdoern@redhat.com>

docs/source/providers/post_training/inline_torchtune-cpu.md

@@ -2,7 +2,7 @@
 
 ## Description
 
-TorchTune-based post-training provider for fine-tuning and optimizing models using Meta's TorchTune framework.
+TorchTune-based post-training provider for fine-tuning and optimizing models using Meta's TorchTune framework (CPU).
 
 ## Configuration
 

docs/source/providers/post_training/inline_torchtune-gpu.md

@@ -2,7 +2,7 @@
 
 ## Description
 
-TorchTune-based post-training provider for fine-tuning and optimizing models using Meta's TorchTune framework.
+TorchTune-based post-training provider for fine-tuning and optimizing models using Meta's TorchTune framework (GPU).
 
 ## Configuration