`transformers-cli login` => `huggingface-cli login` (#18490)

* zero chance anyone's using that constant no?

* `transformers-cli login` => `huggingface-cli login`

* `transformers-cli repo create` => `huggingface-cli repo create`

* `make style`

examples/tensorflow/language-modeling/run_mlm.py

@@ -115,7 +115,7 @@ class ModelArguments:
         default=False,
         metadata={
             "help": (
-                "Will use the token generated when running `transformers-cli login` (necessary to use this script "
+                "Will use the token generated when running `huggingface-cli login` (necessary to use this script "
                 "with private models)."
             )
         },

examples/tensorflow/multiple-choice/run_swag.py

@@ -157,7 +157,7 @@ class ModelArguments:
         default=False,
         metadata={
             "help": (
-                "Will use the token generated when running `transformers-cli login` (necessary to use this script "
+                "Will use the token generated when running `huggingface-cli login` (necessary to use this script "
                 "with private models)."
             )
         },

examples/tensorflow/question-answering/run_qa.py

@@ -80,7 +80,7 @@ class ModelArguments:
         default=False,
         metadata={
             "help": (
-                "Will use the token generated when running `transformers-cli login` (necessary to use this script "
+                "Will use the token generated when running `huggingface-cli login` (necessary to use this script "
                 "with private models)."
             )
         },

examples/tensorflow/summarization/run_summarization.py

@@ -101,7 +101,7 @@ class ModelArguments:
         default=False,
         metadata={
             "help": (
-                "Will use the token generated when running `transformers-cli login` (necessary to use this script "
+                "Will use the token generated when running `huggingface-cli login` (necessary to use this script "
                 "with private models)."
             )
         },

examples/tensorflow/text-classification/run_glue.py

@@ -183,7 +183,7 @@ class ModelArguments:
         default=False,
         metadata={
             "help": (
-                "Will use the token generated when running `transformers-cli login` (necessary to use this script "
+                "Will use the token generated when running `huggingface-cli login` (necessary to use this script "
                 "with private models)."
             )
         },

examples/tensorflow/text-classification/run_text_classification.py

@@ -173,7 +173,7 @@ class ModelArguments:
         default=False,
         metadata={
             "help": (
-                "Will use the token generated when running `transformers-cli login` (necessary to use this script "
+                "Will use the token generated when running `huggingface-cli login` (necessary to use this script "
                 "with private models)."
             )
         },

examples/tensorflow/token-classification/run_ner.py

@@ -83,7 +83,7 @@ class ModelArguments:
         default=False,
         metadata={
             "help": (
-                "Will use the token generated when running `transformers-cli login` (necessary to use this script "
+                "Will use the token generated when running `huggingface-cli login` (necessary to use this script "
                 "with private models)."
             )
         },

examples/tensorflow/translation/run_translation.py

@@ -95,7 +95,7 @@ class ModelArguments:
         default=False,
         metadata={
             "help": (
-                "Will use the token generated when running `transformers-cli login` (necessary to use this script "
+                "Will use the token generated when running `huggingface-cli login` (necessary to use this script "
                 "with private models)."
             )
         },

scripts/tatoeba/README.md

@@ -57,7 +57,7 @@ To upload all converted models,
 2. Login to `transformers-cli`
 
 ```bash
-transformers-cli login
+huggingface-cli login
 ```
 
 3. Run the `upload_models` script

scripts/tatoeba/upload_models.sh

@@ -2,7 +2,7 @@
 
 for FILE in converted/*; do 
   model_name=`basename $FILE`
-  transformers-cli repo create $model_name -y
+  huggingface-cli repo create $model_name -y
   git clone https://huggingface.co/Helsinki-NLP/$model_name
   mv $FILE/* $model_name/
   cd $model_name

src/transformers/commands/user.py

@@ -22,9 +22,6 @@ from requests.exceptions import HTTPError
 from . import BaseTransformersCLICommand
 
 
-UPLOAD_MAX_FILES = 15
-
-
 class UserCommands(BaseTransformersCLICommand):
     @staticmethod
     def register_subcommand(parser: ArgumentParser):
@@ -105,7 +102,7 @@ class LoginCommand(BaseUserCommand):
     def run(self):
         print(
             ANSI.red(
-                "ERROR! `transformers-cli login` uses an outdated login mechanism "
+                "ERROR! `huggingface-cli login` uses an outdated login mechanism "
                 "that is not compatible with the Hugging Face Hub backend anymore. "
                 "Please use `huggingface-cli login instead."
             )

src/transformers/configuration_utils.py

@@ -463,7 +463,7 @@ class PretrainedConfig(PushToHubMixin):
                 'http://hostname': 'foo.bar:4012'}.` The proxies are used on each request.
             use_auth_token (`str` or *bool*, *optional*):
                 The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
-                when running `transformers-cli login` (stored in `~/.huggingface`).
+                when running `huggingface-cli login` (stored in `~/.huggingface`).
             revision (`str`, *optional*, defaults to `"main"`):
                 The specific model version to use. It can be a branch name, a tag name, or a commit id, since we use a
                 git-based system for storing models and other artifacts on huggingface.co, so `revision` can be any

src/transformers/dynamic_module_utils.py

@@ -195,7 +195,7 @@ def get_cached_module_file(
             'http://hostname': 'foo.bar:4012'}.` The proxies are used on each request.
         use_auth_token (`str` or *bool*, *optional*):
             The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
-            when running `transformers-cli login` (stored in `~/.huggingface`).
+            when running `huggingface-cli login` (stored in `~/.huggingface`).
         revision (`str`, *optional*, defaults to `"main"`):
             The specific model version to use. It can be a branch name, a tag name, or a commit id, since we use a
             git-based system for storing models and other artifacts on huggingface.co, so `revision` can be any
@@ -345,7 +345,7 @@ def get_class_from_dynamic_module(
             'http://hostname': 'foo.bar:4012'}.` The proxies are used on each request.
         use_auth_token (`str` or `bool`, *optional*):
             The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
-            when running `transformers-cli login` (stored in `~/.huggingface`).
+            when running `huggingface-cli login` (stored in `~/.huggingface`).
         revision (`str`, *optional*, defaults to `"main"`):
             The specific model version to use. It can be a branch name, a tag name, or a commit id, since we use a
             git-based system for storing models and other artifacts on huggingface.co, so `revision` can be any

src/transformers/feature_extraction_utils.py

@@ -251,7 +251,7 @@ class FeatureExtractionMixin(PushToHubMixin):
                 'http://hostname': 'foo.bar:4012'}.` The proxies are used on each request.
             use_auth_token (`str` or *bool*, *optional*):
                 The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
-                when running `transformers-cli login` (stored in `~/.huggingface`).
+                when running `huggingface-cli login` (stored in `~/.huggingface`).
             revision (`str`, *optional*, defaults to `"main"`):
                 The specific model version to use. It can be a branch name, a tag name, or a commit id, since we use a
                 git-based system for storing models and other artifacts on huggingface.co, so `revision` can be any

src/transformers/modeling_tf_utils.py

@@ -2096,7 +2096,7 @@ class TFPreTrainedModel(tf.keras.Model, TFModelUtilsMixin, TFGenerationMixin, Pu
                 Whether or not to only look at local files (e.g., not try doanloading the model).
             use_auth_token (`str` or *bool*, *optional*):
                 The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
-                when running `transformers-cli login` (stored in `~/.huggingface`).
+                when running `huggingface-cli login` (stored in `~/.huggingface`).
             revision (`str`, *optional*, defaults to `"main"`):
                 The specific model version to use. It can be a branch name, a tag name, or a commit id, since we use a
                 git-based system for storing models and other artifacts on huggingface.co, so `revision` can be any
@@ -2472,8 +2472,8 @@ class TFPreTrainedModel(tf.keras.Model, TFModelUtilsMixin, TFGenerationMixin, Pu
                 Whether or not the repository created should be private (requires a paying subscription).
             use_auth_token (`bool` or `str`, *optional*):
                 The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
-                when running `transformers-cli login` (stored in `~/.huggingface`). Will default to `True` if
-                `repo_url` is not specified.
+                when running `huggingface-cli login` (stored in `~/.huggingface`). Will default to `True` if `repo_url`
+                is not specified.
             max_shard_size (`int` or `str`, *optional*, defaults to `"10GB"`):
                 Only applicable for models. The maximum size for a checkpoint before being sharded. Checkpoints shard
                 will then be each of size lower than this size. If expressed as a string, needs to be digits followed

src/transformers/modeling_utils.py

@@ -1659,7 +1659,7 @@ class PreTrainedModel(nn.Module, ModuleUtilsMixin, GenerationMixin, PushToHubMix
                 Whether or not to only look at local files (i.e., do not try to download the model).
             use_auth_token (`str` or *bool*, *optional*):
                 The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
-                when running `transformers-cli login` (stored in `~/.huggingface`).
+                when running `huggingface-cli login` (stored in `~/.huggingface`).
             revision (`str`, *optional*, defaults to `"main"`):
                 The specific model version to use. It can be a branch name, a tag name, or a commit id, since we use a
                 git-based system for storing models and other artifacts on huggingface.co, so `revision` can be any

src/transformers/models/auto/feature_extraction_auto.py

@@ -142,7 +142,7 @@ def get_feature_extractor_config(
             'http://hostname': 'foo.bar:4012'}.` The proxies are used on each request.
         use_auth_token (`str` or *bool*, *optional*):
             The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
-            when running `transformers-cli login` (stored in `~/.huggingface`).
+            when running `huggingface-cli login` (stored in `~/.huggingface`).
         revision (`str`, *optional*, defaults to `"main"`):
             The specific model version to use. It can be a branch name, a tag name, or a commit id, since we use a
             git-based system for storing models and other artifacts on huggingface.co, so `revision` can be any
@@ -247,7 +247,7 @@ class AutoFeatureExtractor:
                 'http://hostname': 'foo.bar:4012'}.` The proxies are used on each request.
             use_auth_token (`str` or *bool*, *optional*):
                 The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
-                when running `transformers-cli login` (stored in `~/.huggingface`).
+                when running `huggingface-cli login` (stored in `~/.huggingface`).
             revision (`str`, *optional*, defaults to `"main"`):
                 The specific model version to use. It can be a branch name, a tag name, or a commit id, since we use a
                 git-based system for storing models and other artifacts on huggingface.co, so `revision` can be any

src/transformers/models/auto/processing_auto.py

@@ -135,7 +135,7 @@ class AutoProcessor:
                 'http://hostname': 'foo.bar:4012'}.` The proxies are used on each request.
             use_auth_token (`str` or *bool*, *optional*):
                 The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
-                when running `transformers-cli login` (stored in `~/.huggingface`).
+                when running `huggingface-cli login` (stored in `~/.huggingface`).
             revision (`str`, *optional*, defaults to `"main"`):
                 The specific model version to use. It can be a branch name, a tag name, or a commit id, since we use a
                 git-based system for storing models and other artifacts on huggingface.co, so `revision` can be any

src/transformers/models/auto/tokenization_auto.py

@@ -357,7 +357,7 @@ def get_tokenizer_config(
             'http://hostname': 'foo.bar:4012'}.` The proxies are used on each request.
         use_auth_token (`str` or *bool*, *optional*):
             The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
-            when running `transformers-cli login` (stored in `~/.huggingface`).
+            when running `huggingface-cli login` (stored in `~/.huggingface`).
         revision (`str`, *optional*, defaults to `"main"`):
             The specific model version to use. It can be a branch name, a tag name, or a commit id, since we use a
             git-based system for storing models and other artifacts on huggingface.co, so `revision` can be any

src/transformers/pipelines/__init__.py

@@ -505,7 +505,7 @@ def pipeline(
             Whether or not to use a Fast tokenizer if possible (a [`PreTrainedTokenizerFast`]).
         use_auth_token (`str` or *bool*, *optional*):
             The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
-            when running `transformers-cli login` (stored in `~/.huggingface`).
+            when running `huggingface-cli login` (stored in `~/.huggingface`).
         device_map (`str` or `Dict[str, Union[int, str, torch.device]`, *optional*):
             Sent directly as `model_kwargs` (just a simpler shortcut). When `accelerate` library is present, set
             `device_map="auto"` to compute the most optimized `device_map` automatically. [More