MNT remove deprecated hub_utils

.github/workflows/build-test.yml

@@ -46,7 +46,7 @@ jobs:
 
       - uses: prefix-dev/setup-pixi@v0.8.1
         with:
-          pixi-version: v0.39.0
+          pixi-version: v0.39.5
           environments: ${{ matrix.environment }}
           # we can freeze the environment and manually bump the dependencies to the
           # latest version time to time.

CONTRIBUTING.rst

@@ -98,21 +98,6 @@ scikit-learn and all other required dependencies with:
 
    pytest
 
-Certain tests require internet access to run, and they typically take slightly
-longer to run than other tests. If you'd like to skip those tests, you can add
-``-m not network`` to your ``pytest`` command, or ``-m network`` to only run
-those tests. For example, you can run all tests except the ones requiring
-internet with:
-
-.. code:: bash
-
-   pytest -m "not network" skops
-
-Similarly, there is a flag, ``-m inference`` for tests that hit the Hugging Face
-Inference API, which can be quite slow or even hang. Skip these tests as long as
-you don't make any changes to this functionality. If you already skip network
-tests, the inference tests will also be skipped.
-
 
 Releases
 ========

README.rst

@@ -31,26 +31,19 @@ SKOPS
 
 ``skops`` is a Python library helping you share your `scikit-learn
 <https://scikit-learn.org/stable/>`__ based models and put them in production.
-At the moment, it includes tools to easily integrate models on the Hugging Face
-Hub, which allows you to share your models, make them discoverable, and use the
-Hub's API inference and widgets to get outputs of the model without having to
-download or load the model.
-
-- ``skops.hub_utils``: tools to create a model repository to be stored on
-  `Hugging Face Hub <https://hf.co/models>`__, mainly through
-  ``skops.hub_utils.init`` and ``skops.hub_utils.push``. You can see all the
-  models uploaded to the hub using this library `here
-  <https://huggingface.co/models?other=skops>`__. Find out more `here
-  <https://skops.readthedocs.io/en/stable/hf_hub.html>`__.
+At the moment, it includes `skops.io` to securely persist sklearn estimators and
+more, without using ``pickle``. It also includes `skops.card` to create a model
+card explaining what the model does and how it should be used.
+
+- ``skops.io``: Secure persistence of sklearn estimators and more, without using
+  ``pickle``. Visit `the docs
+  <https://skops.readthedocs.io/en/latest/persistence.html>`__ for more
+  information.
 - ``skops.card``: tools to create a model card explaining what the model does
   and how it should be used. The model card can then be stored as the
   ``README.md`` file on the Hugging Face Hub, with pre-populated metadata to
   help Hub understand the model. More information can be found `here
   <https://skops.readthedocs.io/en/stable/model_card.html>`__.
-- ``skops.io``: Secure persistence of sklearn estimators and more, without using
-  ``pickle``. Visit `the docs
-  <https://skops.readthedocs.io/en/latest/persistence.html>`__ for more
-  information.
 
 Please refer to our `documentation <https://skops.readthedocs.io/en/latest/>`_
 on using the library as user, which includes user guides on the above topics as

docs/changes.rst

@@ -39,7 +39,7 @@ v0.9
   estimators. :pr:`384` by :user:`Reid Johnson <reidjohnson>`.
 - Fix an issue with visualizing Skops files for `scikit-learn` tree estimators.
   :pr:`386` by :user:`Reid Johnson <reidjohnson>`.
-- :func:`skops.hub_utils.get_model_output` and :func:`skops.hub_utils.push` are
+- ``skops.hub_utils.get_model_output`` and ``skops.hub_utils.push`` are
   deprecated and will be removed in version 0.10. :pr:`396` by `Adrin Jalali`_.
 
 v0.8
@@ -156,7 +156,7 @@ v0.2
   filesystem if it fails for some reason. :pr:`60` by `Adrin Jalali`_
 - When adding figures or tables, it's now possible to set ``folded=True`` to
   render the content inside a details tag. :pr:`108` by `Benjamin Bossan`_.
-- Add :meth:`skops.hub_utils.get_model_output` to get the model's output using
+- Add ``skops.hub_utils.get_model_output`` to get the model's output using
   The Hugging Face Hub's inference API, and return an array with the outputs.
   :pr:`105` by `Adrin Jalali`_.
 
@@ -167,7 +167,7 @@ This is the first release of the library. It include two main modules:
 
 - :mod:`skops.hub_utils`: tools to create a model repository to be stored on
   `Hugging Face Hub <https://hf.co/models>`__, mainly through
-  :func:`skops.hub_utils.init` and :func:`skops.hub_utils.push`.
+  :func:`skops.hub_utils.init` and ``skops.hub_utils.push``.
 - :mod:`skops.card`: tools to create a model card explaining what the model does
   and how it should be used. The model card can then be stored as the
   ``README.md`` file on the Hugging Face Hub, with pre-populated metadata to

docs/community.rst

@@ -13,16 +13,6 @@ If you'd like to contribute to the project, please make sure you read our
 <https://github.com/skops-dev/skops/blob/main/CONTRIBUTING.rst>`__.
 
 
-Discord
-~~~~~~~
-We also have a place on Hugging Face's discord server. We're happy to see you
-there and answer any questions you might have. You can join using this `invite
-link <http://hf.co/join/discord>`__. Once you join, first you need to accept
-the rules on the server regarding respectful and harassment free communication,
-and then you can head to the ``#role-assignment`` channel where you'll find and
-``Open Source ML`` button. Clicking on that will give you access to a few
-channels and categories, including the ``skops`` category.
-
 Maintainers
 -----------
 Current maintainers of the project are (in alphabetical order):

docs/conf.py

@@ -148,6 +148,5 @@ def linkcode_resolve(domain, info):
     "sklearn": ("https://scikit-learn.org/stable/", None),
     "pandas": ("https://pandas.pydata.org/docs/", None),
     "joblib": ("https://joblib.readthedocs.io/en/latest/", None),
-    "huggingface_hub": ("https://huggingface.co/docs/huggingface_hub/main/en", None),
     "fairlearn": ("https://fairlearn.org/v0.8/", None),
 }

docs/examples.rst

@@ -6,9 +6,6 @@ Examples of interactions with the Hugging Face Hub
 - Creating the Model Card:
     :ref:`sphx_glr_auto_examples_plot_model_card.py` is an example of using
     skops to create a model card that can be used on the Hugging Face Hub.
-- Putting the Model Card on the Hub:
-    :ref:`sphx_glr_auto_examples_plot_hf_hub.py` is an example of using skops
-    to put a model card on the Hugging Face Hub.
 - Tabular Regression:
     :ref:`sphx_glr_auto_examples_plot_tabular_regression.py` is an example of using skops to serialize a tabular
     regression model and create a model card and a Hugging Face Hub repository.

docs/model_card.rst

@@ -8,22 +8,15 @@ which are a short documentation explaining what the model does, how it's
 trained, and its limitations. `Hugging Face Hub <https://huggingface.co/>`__
 expects a ``README.md`` file containing a certain set of metadata at the
 beginning of it, following with the content of the model card in markdown
-format. The metadata section is used to make models searchable on the Hub, and
-get the inference API and the widgets on the website working.
+format.
 
 Metadata
 --------
 
 The metadata part of the file needs to follow the specifications `here
 <https://huggingface.co/docs/hub/models-cards#model-card-metadata>`__. It
 includes simple attributes of your models such as the task you're solving,
-dataset you trained the model with, evaluation results and more. When the model
-is hosted on the Hub, information in metadata like task name or dataset help
-your model be discovered on the `Hugging Face Hub
-<https://huggingface.co/models>`__. The task identifiers should follow the task
-taxonomy defined in Hugging Face Hub, as it enables the inference widget on the
-model page. An example to task identifier can be ``"tabular-classification"``
-or ``"text-regression"``.
+dataset you trained the model with, evaluation results and more.
 
 Here's an example of the metadata section of the ``README.md`` file: