Small edits (#907)

docs/guides/frameworks/huggingface/transformers.md

@@ -2,9 +2,9 @@
 title: Transformers
 ---
 
-The [HuggingFace Transformers example](https://github.com/allegroai/clearml/blob/master/examples/frameworks/huggingface/transformers.ipynb)
+The [Hugging Face Transformers example](https://github.com/allegroai/clearml/blob/master/examples/frameworks/huggingface/transformers.ipynb)
 demonstrates how to integrate ClearML into your Transformer's [Trainer](https://huggingface.co/docs/transformers/v4.34.1/en/main_classes/trainer) 
-code. The HuggingFace Trainer automatically uses the built-in [`ClearMLCallback`](https://huggingface.co/docs/transformers/v4.34.1/en/main_classes/callback#transformers.integrations.ClearMLCallback)
+code. The Hugging Face Trainer automatically uses the built-in [`ClearMLCallback`](https://huggingface.co/docs/transformers/v4.34.1/en/main_classes/callback#transformers.integrations.ClearMLCallback)
 if the `clearml` package is already installed, to log Transformers models, parameters, scalars, and more. 
 
 In the example, ClearML is installed and set up in the training environment. This way ClearML can log models, parameters, 
@@ -13,7 +13,7 @@ scalars, and more.
 When the example runs, it creates a ClearML task called `Trainer` in the `HuggingFace Transformers` project. To change 
 the task's name or project, use the `CLEARML_PROJECT` and `CLEARML_TASK` environment variables respectively.
 
-For more information about integrating ClearML into your Transformers code, see [HuggingFace Transformers](../../../integrations/transformers.md).
+For more information about integrating ClearML into your Transformers code, see [Hugging Face Transformers](../../../integrations/transformers.md).
 
 ## WebApp
 

docs/integrations/accelerate.md

@@ -2,7 +2,7 @@
 title: Accelerate
 ---
 
-HuggingFace's [Accelerate](https://huggingface.co/docs/accelerate/main/en/index) library simplifies DL model training 
+Hugging Face's [Accelerate](https://huggingface.co/docs/accelerate/main/en/index) library simplifies DL model training 
 and inference. ClearML is a supported tracker in Accelerate: It automatically logs experiment environment information, 
 such as required packages and uncommitted changes, and supports reporting scalars, parameters, debug samples, and plots.
 

docs/release_notes/ver_1_1.md

@@ -16,7 +16,7 @@ This release is not backwards compatible - see notes below on upgrading
 * Add version number of serving session task
 * Triton engine support for variable request (matrix) sizes
 * Triton support, fix `--aux-config` to support more configurations elements
-* Huggingface Transformer support
+* Hugging Face Transformer support
 * `Preprocess` class as module 
 
 

docs/release_notes/ver_1_13.md

@@ -71,7 +71,7 @@ title: Version 1.13
 * Support ignoring `default_output_uri` on remote runs when `Task.init(output_uri=False)` was specified and the backend task data has no `output_uri` specified
 * Add configuration files logging [example](https://github.com/allegroai/clearml/blob/e6f1cc8a5c65f7007cf6452745d09795e776a548/examples/reporting/config_files.py)
 * Support raising `LoginError` when initializing
-* Add HuggingFace Transformers example ([ClearML GitHub PR #1146](https://github.com/allegroai/clearml/pull/1146))
+* Add Hugging Face Transformers example ([ClearML GitHub PR #1146](https://github.com/allegroai/clearml/pull/1146))
 * Improve docstrings for tag filters
 * Add a security policy file to the repository ([ClearML GitHub issue #1148](https://github.com/allegroai/clearml/issues/1148))
 

docs/release_notes/ver_1_2.md

@@ -7,7 +7,7 @@ title: Version 1.2
 **New Features and Improvements**
 * Improve GPU Performance, 50%-300% improvement over vanilla Triton
 * Improve performance on CPU, optimize uvloop + multi-processing
-* Add Huggingface Transformer example
+* Add Hugging Face Transformer example
 * Add binary input support ([ClearML Serving PR #37](https://github.com/allegroai/clearml-serving/pull/37) )
 
 **Bug Fix**

docs/release_notes/ver_1_3.md

@@ -19,7 +19,7 @@ title: Version 1.3
 **New Features and Improvements**
 * 20% Overall performance increase 
 * gRPC channel configuration ([ClearML Serving GitHub issue #49](https://github.com/allegroai/clearml-serving/issues/49)) 
-* Huggingface Transformer example 
+* Hugging Face Transformer example 
 
 **Bug fixes**
 * Fix NumPy compatibility ([ClearML Serving GitHub issue #47](https://github.com/allegroai/clearml-serving/issues/47) and [#46](https://github.com/allegroai/clearml-serving/issues/46))

sidebars.js

@@ -93,7 +93,7 @@ module.exports = {
                 'integrations/catboost',
                 'integrations/click',
                 'integrations/fastai',
-                {"HuggingFace": ['integrations/transformers', 'integrations/accelerate']},
+                {"Hugging Face": ['integrations/transformers', 'integrations/accelerate']},
                 'integrations/hydra', 'integrations/jsonargparse',
                 'integrations/keras', 'integrations/keras_tuner',
                 'integrations/langchain',
@@ -201,7 +201,7 @@ module.exports = {
                 'guides/frameworks/autokeras/autokeras_imdb_example',
                 'guides/frameworks/catboost/catboost',
                 'guides/frameworks/fastai/fastai_with_tensorboard',
-                 {'HuggingFace': ['guides/frameworks/huggingface/transformers']},
+                 {'Hugging Face': ['guides/frameworks/huggingface/transformers']},
                  {'Keras': ['guides/frameworks/keras/jupyter', 'guides/frameworks/keras/keras_tensorboard']},
                 'guides/frameworks/lightgbm/lightgbm_example',
                 'guides/frameworks/matplotlib/matplotlib_example',