Remove non-breaking spaces (#20929)

* Remove non-breaking space in comment

It was likely added unintionally.

* Remove remaining non-breaking spaces

docs/source/es/model_sharing.mdx

@@ -49,7 +49,7 @@ Los archivos son editados fácilmente dentro de un repositorio. Incluso puedes o
 
 ## Configuración inicial
 
-Antes de compartir un modelo al Hub necesitarás tus credenciales de Hugging Face. Si tienes acceso a una terminal ejecuta el siguiente comando en el entorno virtual donde 🤗 Transformers esté instalado. Esto guardará tu token de acceso dentro de tu carpeta cache de Hugging Face (~/.cache/ by default):
+Antes de compartir un modelo al Hub necesitarás tus credenciales de Hugging Face. Si tienes acceso a una terminal ejecuta el siguiente comando en el entorno virtual donde 🤗 Transformers esté instalado. Esto guardará tu token de acceso dentro de tu carpeta cache de Hugging Face (~/.cache/ by default):
 
 ```bash
 huggingface-cli login

docs/source/es/training.mdx

@@ -39,7 +39,7 @@ Comienza cargando el dataset de [Yelp Reviews](https://huggingface.co/datasets/y
  'text': 'My expectations for McDonalds are t rarely high. But for one to still fail so spectacularly...that takes something special!\\nThe cashier took my friends\'s order, then promptly ignored me. I had to force myself in front of a cashier who opened his register to wait on the person BEHIND me. I waited over five minutes for a gigantic order that included precisely one kid\'s meal. After watching two people who ordered after me be handed their food, I asked where mine was. The manager started yelling at the cashiers for \\"serving off their orders\\" when they didn\'t have their food. But neither cashier was anywhere near those controls, and the manager was the one serving food to customers and clearing the boards.\\nThe manager was rude when giving me my order. She didn\'t make sure that I had everything ON MY RECEIPT, and never even had the decency to apologize that I felt I was getting poor service.\\nI\'ve eaten at various McDonalds restaurants for over 30 years. I\'ve worked at more than one location. I expect bad days, bad moods, and the occasional mistake. But I have yet to have a decent experience at this store. It will remain a place I avoid unless someone in my party needs to avoid illness from low blood sugar. Perhaps I should go back to the racially biased service of Steak n Shake instead!'}
 ```
 
-Como ya sabes, necesitas un tokenizador para procesar el texto e incluir una estrategia para el padding y el truncamiento para manejar cualquier longitud de secuencia variable. Para procesar tu dataset en un solo paso, utiliza el método de 🤗 Datasets map para aplicar una función de preprocesamiento sobre todo el dataset:
+Como ya sabes, necesitas un tokenizador para procesar el texto e incluir una estrategia para el padding y el truncamiento para manejar cualquier longitud de secuencia variable. Para procesar tu dataset en un solo paso, utiliza el método de 🤗 Datasets map para aplicar una función de preprocesamiento sobre todo el dataset:
 
 ```py
 >>> from transformers import AutoTokenizer

examples/research_projects/jax-projects/README.md

@@ -1209,7 +1209,7 @@ All the widgets are open sourced in the `huggingface_hub` [repo](https://github.
 * **Text to Speech**: Convert text to audio.
 
 **Image**
-* **Image Classification:** Given an image, predict its class. [Example](https://huggingface.co/osanseviero/llamastic).
+* **Image Classification:** Given an image, predict its class. [Example](https://huggingface.co/osanseviero/llamastic).
 * ([WIP](https://github.com/huggingface/huggingface_hub/issues/100)) **Zero Shot Image Classification**
 * ([WIP](https://github.com/huggingface/huggingface_hub/issues/112)) **Image Captioning**
 * ([WIP](https://github.com/huggingface/huggingface_hub/issues/113)) **Text to Image Generation**

examples/research_projects/seq2seq-distillation/README.md

@@ -188,18 +188,18 @@ Some of them are metrics, some of them are checkpoints, some of them are metadat
 ```bash
 output_dir
 ├── best_tfmr  # this is a huggingface checkpoint generated by save_pretrained. It is the same model as the PL .ckpt file below
-│   ├── config.json
-│   ├── merges.txt
-│   ├── pytorch_model.bin
-│   ├── special_tokens_map.json
-│   ├── tokenizer_config.json
-│   └── vocab.json
+│   ├── config.json
+│   ├── merges.txt
+│   ├── pytorch_model.bin
+│   ├── special_tokens_map.json
+│   ├── tokenizer_config.json
+│   └── vocab.json
 ├── git_log.json   # repo, branch, and commit hash
 ├── val_avg_rouge2=0.1984-step_count=11.ckpt  # this is a pytorch lightning checkpoint associated with the best val score. (it will be called BLEU for MT)
 ├── metrics.json  # new validation metrics will continually be appended to this
 ├── student  # this is a huggingface checkpoint generated by SummarizationDistiller. It is the student before it gets finetuned.
-│   ├── config.json
-│   └── pytorch_model.bin
+│   ├── config.json
+│   └── pytorch_model.bin
 ├── test_generations.txt
 # ^^ are the summaries or translations produced by your best checkpoint on the test data. Populated when training is done
 ├── test_results.txt  # a convenience file with the test set metrics. This data is also in metrics.json['test']

src/transformers/trainer_utils.py

@@ -65,8 +65,8 @@ def enable_full_determinism(seed: int):
     set_seed(seed)
 
     if is_torch_available():
-        #  Enable PyTorch deterministic mode. This potentially requires either the environment
-        #  variable 'CUDA_LAUNCH_BLOCKING' or 'CUBLAS_WORKSPACE_CONFIG' to be set,
+        # Enable PyTorch deterministic mode. This potentially requires either the environment
+        # variable 'CUDA_LAUNCH_BLOCKING' or 'CUBLAS_WORKSPACE_CONFIG' to be set,
         # depending on the CUDA version, so we set them both here
         os.environ["CUDA_LAUNCH_BLOCKING"] = "1"
         os.environ["CUBLAS_WORKSPACE_CONFIG"] = ":16:8"

src/transformers/training_args.py

@@ -1047,7 +1047,7 @@ class TrainingArguments:
 
         # expand paths, if not os.makedirs("~/bar") will make directory
         # in the current directory instead of the actual home
-        #  see https://github.com/huggingface/transformers/issues/10628
+        # see https://github.com/huggingface/transformers/issues/10628
         if self.output_dir is not None:
             self.output_dir = os.path.expanduser(self.output_dir)
         if self.logging_dir is None and self.output_dir is not None: