Doc new front github actions (#14512)

* Doc new front github actions

* Fix docstring

* Fix feature extraction utils import (#14515)

* Address Julien's comments

* Push to doc-builder

* Ready for merge

.github/workflows/build_documentation.yml

@@ -0,0 +1,56 @@
+name: Build documentation
+
+on:
+  push:
+    branches:
+      - master
+
+jobs:
+  build_and_package:
+    runs-on: ubuntu-latest
+    defaults:
+      run:
+        shell: bash -l {0}
+
+    steps:
+      - uses: actions/checkout@v2
+        with:
+          repository: 'huggingface/doc-builder'
+          token: ${{ secrets.HUGGINGFACE_PUSH }}
+
+      - name: Clone transformers
+        run: |
+          git clone https://github.com/huggingface/transformers
+
+      - name: Setup environment
+        run: |
+          sudo apt-get -y update && sudo apt-get install -y libsndfile1-dev
+
+          pip install -e .
+          pip install git+https://github.com/huggingface/transformers#egg=transformers[dev]
+
+          export TORCH_VERSION=$(python -c "from torch import version; print(version.__version__.split('+')[0])")
+          pip install torch-scatter -f https://data.pyg.org/whl/torch-${TORCH_VERSION}+cpu.html
+
+          pip install torchvision
+          python -m pip install 'git+https://github.com/facebookresearch/detectron2.git'
+
+          sudo apt install tesseract-ocr
+          pip install pytesseract
+          pip install pytorch-quantization --extra-index-url https://pypi.ngc.nvidia.com
+
+      - name: Setup git
+        run: |
+          git config --global user.name "Hugging Face"
+          git config --global user.email transformers@huggingface.co
+
+      - name: Make documentation
+        run: |
+          python src/build.py transformers ./transformers/docs/source
+
+      - name: Push to repository
+        run: |
+          git add build
+          git commit -m "Updated with commit ${{ github.sha }}"
+          git push origin main
+

src/transformers/__init__.py

@@ -94,7 +94,8 @@
         "DataCollatorWithPadding",
         "default_data_collator",
     ],
-    "feature_extraction_sequence_utils": ["BatchFeature", "SequenceFeatureExtractor"],
+    "feature_extraction_sequence_utils": ["SequenceFeatureExtractor"],
+    "feature_extraction_utils": ["BatchFeature"],
     "file_utils": [
         "CONFIG_NAME",
         "MODEL_CARD_NAME",
@@ -2059,9 +2060,10 @@
         DataCollatorWithPadding,
         default_data_collator,
     )
+    from .feature_extraction_sequence_utils import SequenceFeatureExtractor
 
     # Feature Extractor
-    from .feature_extraction_utils import BatchFeature, SequenceFeatureExtractor
+    from .feature_extraction_utils import BatchFeature
 
     # Files and general utilities
     from .file_utils import (

src/transformers/models/beit/feature_extraction_beit.py

@@ -38,8 +38,9 @@ class BeitFeatureExtractor(FeatureExtractionMixin, ImageFeatureExtractionMixin):
     r"""
     Constructs a BEiT feature extractor.
 
-    This feature extractor inherits from :class:`~transformers.FeatureExtractionMixin` which contains most of the main
-    methods. Users should refer to this superclass for more information regarding those methods.
+    This feature extractor inherits from :class:`~transformers.feature_extraction_utils.FeatureExtractionMixin` which
+    contains most of the main methods. Users should refer to this superclass for more information regarding those
+    methods.
 
     Args:
         do_resize (:obj:`bool`, `optional`, defaults to :obj:`True`):