Remove old TF port docs (#30426)

* Remove old TF port guide

* repo-consistency

* Remove some translations as well for consistency

* Remove some translations as well for consistency

docs/source/de/_toctree.yml

@@ -33,8 +33,6 @@
     title: Wie kann man zu 🤗 Transformers beitragen?
   - local: add_new_model
     title: Wie fügt man ein Modell zu 🤗 Transformers hinzu?
-  - local: add_tensorflow_model
-    title: Wie konvertiert man ein 🤗 Transformers-Modell in TensorFlow?
   - local: add_new_pipeline
     title: Wie fügt man eine Pipeline zu 🤗 Transformers hinzu?
   - local: testing

docs/source/de/add_new_model.md

@@ -17,12 +17,6 @@ rendered properly in your Markdown viewer.
 
 Die 🤗 Transformers-Bibliothek ist dank der Beiträge der Community oft in der Lage, neue Modelle anzubieten. Aber das kann ein anspruchsvolles Projekt sein und erfordert eine eingehende Kenntnis der 🤗 Transformers-Bibliothek und des zu implementierenden Modells. Bei Hugging Face versuchen wir, mehr Mitgliedern der Community die Möglichkeit zu geben, aktiv Modelle hinzuzufügen, und wir haben diese Anleitung zusammengestellt, die Sie durch den Prozess des Hinzufügens eines PyTorch-Modells führt (stellen Sie sicher, dass Sie [PyTorch installiert haben](https://pytorch.org/get-started/locally/)).
 
-<Tip>
-
-Wenn Sie daran interessiert sind, ein TensorFlow-Modell zu implementieren, werfen Sie einen Blick in die Anleitung [How to convert a 🤗 Transformers model to TensorFlow](add_tensorflow_model)!
-
-</Tip>
-
 Auf dem Weg dorthin, werden Sie:
 
 - Einblicke in bewährte Open-Source-Verfahren erhalten

docs/source/en/_toctree.yml

@@ -187,8 +187,6 @@
     title: How to contribute to 🤗 Transformers?
   - local: add_new_model
     title: How to add a model to 🤗 Transformers?
-  - local: add_tensorflow_model
-    title: How to convert a 🤗 Transformers model to TensorFlow?
   - local: add_new_pipeline
     title: How to add a pipeline to 🤗 Transformers?
   - local: testing

docs/source/en/add_new_model.md

@@ -17,12 +17,6 @@ rendered properly in your Markdown viewer.
 
 The 🤗 Transformers library is often able to offer new models thanks to community contributors. But this can be a challenging project and requires an in-depth knowledge of the 🤗 Transformers library and the model to implement. At Hugging Face, we're trying to empower more of the community to actively add models and we've put together this guide to walk you through the process of adding a PyTorch model (make sure you have [PyTorch installed](https://pytorch.org/get-started/locally/)).
 
-<Tip>
-
-If you're interested in implementing a TensorFlow model, take a look at the [How to convert a 🤗 Transformers model to TensorFlow](add_tensorflow_model) guide!
-
-</Tip>
-
 Along the way, you'll:
 
 - get insights into open-source best practices

docs/source/ja/_toctree.yml

@@ -169,8 +169,6 @@
 - sections:
   - local: add_new_model
     title: 🤗 Transformersにモデルを追加する方法
-  - local: add_tensorflow_model
-    title: 🤗 TransformersモデルをTensorFlowに変換する方法
   - local: testing
     title: テスト
   - local: pr_checks

docs/source/ja/add_new_model.md

@@ -20,12 +20,6 @@ an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express o
 Hugging Faceでは、コミュニティの多くの人々に積極的にモデルを追加する力を与えようと努力しており、
 このガイドをまとめて、PyTorchモデルを追加するプロセスを説明します（[PyTorchがインストールされていることを確認してください](https://pytorch.org/get-started/locally/)）。
 
-<Tip>
-
-TensorFlowモデルを実装する興味がある場合は、[🤗 TransformersモデルをTensorFlowに変換する方法](add_tensorflow_model)ガイドを参照してみてください！
-
-</Tip>
-
 この過程で、以下のことを学びます：
 
 - オープンソースのベストプラクティスに関する洞察

docs/source/ko/_toctree.yml

@@ -185,8 +185,6 @@
       title: 🤗 Transformers에 기여하는 방법
     - local: add_new_model
       title: 🤗 Transformers에 새로운 모델을 추가하는 방법
-    - local: add_tensorflow_model
-      title: 어떻게 🤗 Transformers 모델을 TensorFlow로 변환하나요?
     - local: add_new_pipeline
       title: 어떻게 🤗 Transformers에 파이프라인을 추가하나요?
     - local: testing

docs/source/ko/add_new_model.md

@@ -17,12 +17,6 @@ rendered properly in your Markdown viewer.
 
 Hugging Face Transformers 라이브러리는 커뮤니티 기여자들 덕분에 새로운 모델을 제공할 수 있는 경우가 많습니다. 하지만 이는 도전적인 프로젝트이며 Hugging Face Transformers 라이브러리와 구현할 모델에 대한 깊은 이해가 필요합니다. Hugging Face에서는 더 많은 커뮤니티 멤버가 모델을 적극적으로 추가할 수 있도록 지원하고자 하며, 이 가이드를 통해 PyTorch 모델을 추가하는 과정을 안내하고 있습니다 (PyTorch가 설치되어 있는지 확인해주세요).
 
-<Tip>
-
-TensorFlow 모델을 구현하고자 하는 경우 [🤗 Transformers 모델을 TensorFlow로 변환하는 방법](add_tensorflow_model) 가이드를 살펴보세요!
-
-</Tip>
-
 이 과정을 진행하면 다음과 같은 내용을 이해하게 됩니다:
 
 - 오픈 소스의 모범 사례에 대한 통찰력을 얻습니다.

docs/source/ms/_toctree.yml

@@ -147,8 +147,6 @@
       title: Bagaimana untuk menyumbang kepada transformer?
     - local: add_new_model
       title: Bagaimana untuk menambah model pada 🤗 Transformers?
-    - local: add_tensorflow_model
-      title: Bagaimana untuk menukar model Transformers kepada TensorFlow?
     - local: add_new_pipeline
       title: Bagaimana untuk menambah saluran paip ke 🤗 Transformers?
     - local: testing

utils/not_doctested.txt

@@ -2,7 +2,6 @@ docs/source/en/_config.py
 docs/source/en/accelerate.md
 docs/source/en/add_new_model.md
 docs/source/en/add_new_pipeline.md
-docs/source/en/add_tensorflow_model.md
 docs/source/en/attention.md
 docs/source/en/benchmarks.md
 docs/source/en/bertology.md