[WIP] Remove the need to contribute to inits when contributing a model

Makefile

@@ -53,15 +53,13 @@ quality:
  @python -c "from transformers import *" || (echo '🚨 import failed, this means you introduced unprotected imports! 🚨'; exit 1)
  ruff check $(check_dirs) setup.py conftest.py
  ruff format --check $(check_dirs) setup.py conftest.py
- python utils/custom_init_isort.py --check_only
  python utils/sort_auto_mappings.py --check_only
  python utils/check_doc_toc.py
 
 
 # Format source code automatically and check is there are any problems left that need manual fixing
 
 extra_style_checks:
- python utils/custom_init_isort.py
  python utils/sort_auto_mappings.py
  python utils/check_doc_toc.py --fix_and_overwrite
 

examples/pytorch/object-detection/run_object_detection.py

@@ -244,9 +244,7 @@ class DataTrainingArguments:
  )
  image_square_size: Optional[int] = field(
  default=600,
- metadata={
- "help": "Image longest size will be resized to this value, then image will be padded to square."
- },
+ metadata={"help": "Image longest size will be resized to this value, then image will be padded to square."},
  )
  max_train_samples: Optional[int] = field(
  default=None,

setup.py

@@ -260,7 +260,15 @@ def run(self):
 extras["sklearn"] = deps_list("scikit-learn")
 
 extras["tf"] = deps_list("tensorflow", "onnxconverter-common", "tf2onnx", "tensorflow-text", "keras-nlp")
-extras["tf-cpu"] = deps_list("keras", "tensorflow-cpu", "onnxconverter-common", "tf2onnx", "tensorflow-text", "keras-nlp", "tensorflow-probability")
+extras["tf-cpu"] = deps_list(
+ "keras",
+ "tensorflow-cpu",
+ "onnxconverter-common",
+ "tf2onnx",
+ "tensorflow-text",
+ "keras-nlp",
+ "tensorflow-probability",
+)
 
 extras["torch"] = deps_list("torch", "accelerate")
 extras["accelerate"] = deps_list("accelerate")
@@ -380,12 +388,7 @@ def run(self):
  + extras["tf-speech"]
 )
 extras["dev"] = (
- extras["all"]
- + extras["testing"]
- + extras["quality"]
- + extras["ja"]
- + extras["sklearn"]
- + extras["modelcreation"]
+ extras["all"] + extras["testing"] + extras["quality"] + extras["ja"] + extras["sklearn"] + extras["modelcreation"]
 )
 
 extras["torchhub"] = deps_list(
@@ -470,4 +473,4 @@ def run(self):
 extras["tests_examples_tf"] = deps_list()
 extras["tests_custom_tokenizers"] = deps_list()
 extras["tests_exotic_models"] = deps_list()
-extras["consistency"] = deps_list()
+extras["consistency"] = deps_list()