CLI: use hub's create_commit (huggingface#17755)

* use create_commit

* better commit message and description

* touch setup.py to trigger cache update

* add hub version gating

.github/workflows/add-model-like.yml

@@ -27,7 +27,7 @@ jobs:
         id: cache
         with:
           path: ~/venv/
-          key: v3-tests_model_like-${{ hashFiles('setup.py') }}
+          key: v4-tests_model_like-${{ hashFiles('setup.py') }}
 
       - name: Create virtual environment on cache miss
         if: steps.cache.outputs.cache-hit != 'true'

.github/workflows/model-templates.yml

@@ -21,7 +21,7 @@ jobs:
         id: cache
         with:
           path: ~/venv/
-          key: v3-tests_templates-${{ hashFiles('setup.py') }}
+          key: v4-tests_templates-${{ hashFiles('setup.py') }}
 
       - name: Create virtual environment on cache miss
         if: steps.cache.outputs.cache-hit != 'true'

.github/workflows/update_metdata.yml

@@ -21,7 +21,7 @@ jobs:
         id: cache
         with:
           path: ~/venv/
-          key: v2-metadata-${{ hashFiles('setup.py') }}
+          key: v3-metadata-${{ hashFiles('setup.py') }}
 
       - name: Create virtual environment on cache miss
         if: steps.cache.outputs.cache-hit != 'true'

src/transformers/commands/pt_to_tf.py

@@ -18,8 +18,9 @@
 
 import numpy as np
 from datasets import load_dataset
+from packaging import version
 
-from huggingface_hub import Repository, upload_file
+import huggingface_hub
 
 from .. import AutoConfig, AutoFeatureExtractor, AutoTokenizer, is_tf_available, is_torch_available
 from ..utils import logging
@@ -45,7 +46,9 @@ def convert_command_factory(args: Namespace):
 
     Returns: ServeCommand
     """
-    return PTtoTFCommand(args.model_name, args.local_dir, args.new_weights, args.no_pr, args.push)
+    return PTtoTFCommand(
+        args.model_name, args.local_dir, args.new_weights, args.no_pr, args.push, args.extra_commit_description
+    )
 
 
 class PTtoTFCommand(BaseTransformersCLICommand):
@@ -89,6 +92,12 @@ def register_subcommand(parser: ArgumentParser):
             action="store_true",
             help="Optional flag to push the weights directly to `main` (requires permissions)",
         )
+        train_parser.add_argument(
+            "--extra-commit-description",
+            type=str,
+            default="",
+            help="Optional additional commit description to use when opening a PR (e.g. to tag the owner).",
+        )
         train_parser.set_defaults(func=convert_command_factory)
 
     @staticmethod
@@ -134,13 +143,23 @@ def _find_pt_tf_differences(pt_out, tf_out, differences, attr_name=""):
 
         return _find_pt_tf_differences(pt_outputs, tf_outputs, {})
 
-    def __init__(self, model_name: str, local_dir: str, new_weights: bool, no_pr: bool, push: bool, *args):
+    def __init__(
+        self,
+        model_name: str,
+        local_dir: str,
+        new_weights: bool,
+        no_pr: bool,
+        push: bool,
+        extra_commit_description: str,
+        *args
+    ):
         self._logger = logging.get_logger("transformers-cli/pt_to_tf")
         self._model_name = model_name
         self._local_dir = local_dir if local_dir else os.path.join("/tmp", model_name)
         self._new_weights = new_weights
         self._no_pr = no_pr
         self._push = push
+        self._extra_commit_description = extra_commit_description
 
     def get_text_inputs(self):
         tokenizer = AutoTokenizer.from_pretrained(self._local_dir)
@@ -170,10 +189,17 @@ def get_image_inputs(self):
         return pt_input, tf_input
 
     def run(self):
+        if version.parse(huggingface_hub.__version__) < version.parse("0.8.1"):
+            raise ImportError(
+                "The huggingface_hub version must be >= 0.8.1 to use this command. Please update your huggingface_hub"
+                " installation."
+            )
+        else:
+            from huggingface_hub import Repository, create_commit
+            from huggingface_hub._commit_api import CommitOperationAdd
+
         # Fetch remote data
-        # TODO: implement a solution to pull a specific PR/commit, so we can use this CLI to validate pushes.
         repo = Repository(local_dir=self._local_dir, clone_from=self._model_name)
-        repo.git_pull()  # in case the repo already exists locally, but with an older commit
 
         # Load config and get the appropriate architecture -- the latter is needed to convert the head's weights
         config = AutoConfig.from_pretrained(self._local_dir)
@@ -240,32 +266,29 @@ def run(self):
                 )
             )
 
+        commit_message = "Update TF weights" if self._new_weights else "Add TF weights"
         if self._push:
             repo.git_add(auto_lfs_track=True)
-            repo.git_commit("Add TF weights")
+            repo.git_commit(commit_message)
             repo.git_push(blocking=True)  # this prints a progress bar with the upload
             self._logger.warn(f"TF weights pushed into {self._model_name}")
         elif not self._no_pr:
-            # TODO: remove try/except when the upload to PR feature is released
-            # (https://github.com/huggingface/huggingface_hub/pull/884)
-            try:
-                self._logger.warn("Uploading the weights into a new PR...")
-                hub_pr_url = upload_file(
-                    path_or_fileobj=tf_weights_path,
-                    path_in_repo=TF_WEIGHTS_NAME,
-                    repo_id=self._model_name,
-                    create_pr=True,
-                    pr_commit_summary="Add TF weights",
-                    pr_commit_description=(
-                        "Model converted by the `transformers`' `pt_to_tf` CLI -- all converted model outputs and"
-                        " hidden layers were validated against its Pytorch counterpart. Maximum crossload output"
-                        f" difference={max_crossload_diff:.3e}; Maximum converted output"
-                        f" difference={max_conversion_diff:.3e}."
-                    ),
-                )
-                self._logger.warn(f"PR open in {hub_pr_url}")
-            except TypeError:
-                self._logger.warn(
-                    f"You can now open a PR in https://huggingface.co/{self._model_name}/discussions, manually"
-                    f" uploading the file in {tf_weights_path}"
-                )
+            self._logger.warn("Uploading the weights into a new PR...")
+            commit_descrition = (
+                "Model converted by the [`transformers`' `pt_to_tf`"
+                " CLI](https://github.com/huggingface/transformers/blob/main/src/transformers/commands/pt_to_tf.py)."
+                "\n\nAll converted model outputs and hidden layers were validated against its Pytorch counterpart."
+                f" Maximum crossload output difference={max_crossload_diff:.3e}; Maximum converted output"
+                f" difference={max_conversion_diff:.3e}."
+            )
+            if self._extra_commit_description:
+                commit_descrition += "\n\n" + self._extra_commit_description
+            hub_pr_url = create_commit(
+                repo_id=self._model_name,
+                operations=[CommitOperationAdd(path_in_repo=TF_WEIGHTS_NAME, path_or_fileobj=tf_weights_path)],
+                commit_message=commit_message,
+                commit_description=commit_descrition,
+                repo_type="model",
+                create_pr=True,
+            )
+            self._logger.warn(f"PR open in {hub_pr_url}")