huggingface · Wauplin · Sep 12, 2025 · Sep 12, 2025 · Sep 12, 2025 · Sep 12, 2025
diff --git a/.github/workflows/python-tests.yml b/.github/workflows/python-tests.yml
@@ -30,10 +30,6 @@ jobs:
             test_name: "fastai"
           - python-version: "3.10" # fastai not supported on 3.12 and 3.11 -> test it on 3.10
             test_name: "fastai"
-          - python-version: "3.9"
-            test_name: "tensorflow"
-          - python-version: "3.10" # tensorflow not supported on 3.12 -> test it on 3.10
-            test_name: "tensorflow"
           - python-version: "3.9" # test torch~=1.11 on python 3.9 only.
             test_name: "Python 3.9, torch_1.11"
           - python-version: "3.12" # test torch latest on python 3.12 only.
@@ -83,12 +79,6 @@ jobs:
               uv pip install torch~=1.11
               ;;
 
-            tensorflow)
-              sudo apt update
-              sudo apt install -y graphviz
-              uv pip install "huggingface_hub[tensorflow-testing] @ ."
-              ;;
-
           esac
 
           # If not "Xet only", we want to test upload/download with regular LFS workflow
@@ -127,12 +117,6 @@ jobs:
               eval "$PYTEST ../tests/test_fastai*"
             ;;
 
-            tensorflow)
-              # Cannot be on same line since '_tf*' checks if tensorflow is NOT imported by default
-              eval "$PYTEST ../tests/test_tf*"
-              eval "$PYTEST ../tests/test_serialization.py"
-            ;;
-
             "Python 3.9, torch_1.11" | torch_latest)
             eval "$PYTEST ../tests/test_hub_mixin*"
             eval "$PYTEST ../tests/test_serialization.py"

diff --git a/docs/source/cn/installation.md b/docs/source/cn/installation.md
@@ -48,19 +48,15 @@ pip install --upgrade huggingface_hub
 您可以通过`pip`安装可选依赖项,请运行以下代码：
 
 ```bash
-# 安装 TensorFlow 特定功能的依赖项
-# /!\ 注意：这不等同于 `pip install tensorflow`
-pip install 'huggingface_hub[tensorflow]'
-
-# 安装 TensorFlow 特定功能和 CLI 特定功能的依赖项
+# 安装 Torch 特定功能和 CLI 特定功能的依赖项
 pip install 'huggingface_hub[cli,torch]'
 ```
 
 这里列出了 `huggingface_hub` 的可选依赖项：
 
 - `cli`：为 `huggingface_hub` 提供更方便的命令行界面
 
-- `fastai`,` torch`, `tensorflow`: 运行框架特定功能所需的依赖项
+- `fastai`,` torch`: 运行框架特定功能所需的依赖项
 
 - `dev`：用于为库做贡献的依赖项。包括 `testing`（用于运行测试）、`typing`（用于运行类型检查器）和 `quality`（用于运行 linter）
 

diff --git a/docs/source/de/installation.md b/docs/source/de/installation.md
@@ -44,18 +44,14 @@ Einige Abhängigkeiten von `huggingface_hub` sind [optional](https://setuptools.
 
 Sie können optionale Abhängigkeiten über `pip` installieren:
 ```bash
-# Abhängigkeiten für spezifische TensorFlow-Funktionen installieren
-# /!\ Achtung: dies entspricht nicht `pip install tensorflow`
-pip install 'huggingface_hub[tensorflow]'
-
 # Abhängigkeiten sowohl für torch-spezifische als auch für CLI-spezifische Funktionen installieren.
 pip install 'huggingface_hub[cli,torch]'
 ```
 
 Hier ist die Liste der optionalen Abhängigkeiten in huggingface_hub:
 
 - `cli`: bietet eine komfortablere CLI-Schnittstelle für huggingface_hub.
-- `fastai`, `torch`, `tensorflow`: Abhängigkeiten, um framework-spezifische Funktionen auszuführen.
+- `fastai`, `torch`: Abhängigkeiten, um framework-spezifische Funktionen auszuführen.
 - `dev`: Abhängigkeiten, um zur Bibliothek beizutragen. Enthält `testing` (um Tests auszuführen), `typing` (um den Type Checker auszuführen) und `quality` (um Linters auszuführen).
 
 

diff --git a/docs/source/en/guides/cli.md b/docs/source/en/guides/cli.md
@@ -576,7 +576,6 @@ Copy-and-paste the text below in your GitHub issue.
 - Who am I ?: Wauplin
 - Configured git credential helpers: store
 - FastAI: N/A
-- Tensorflow: 2.11.0
 - Torch: 1.12.1
 - Jinja2: 3.1.2
 - Graphviz: 0.20.1

diff --git a/docs/source/en/installation.md b/docs/source/en/installation.md
@@ -46,17 +46,13 @@ Some dependencies of `huggingface_hub` are [optional](https://setuptools.pypa.io
 
 You can install optional dependencies via `pip`:
 ```bash
-# Install dependencies for tensorflow-specific features
-# /!\ Warning: this is not equivalent to `pip install tensorflow`
-pip install 'huggingface_hub[tensorflow]'
-
 # Install dependencies for both torch-specific and CLI-specific features.
 pip install 'huggingface_hub[cli,torch]'
 ```
 
 Here is the list of optional dependencies in `huggingface_hub`:
 - `cli`: provide a more convenient CLI interface for `huggingface_hub`.
-- `fastai`, `torch`, `tensorflow`: dependencies to run framework-specific features.
+- `fastai`, `torch`: dependencies to run framework-specific features.
 - `dev`: dependencies to contribute to the lib. Includes `testing` (to run tests), `typing` (to run type checker) and `quality` (to run linters).
 
 

diff --git a/docs/source/en/package_reference/serialization.md b/docs/source/en/package_reference/serialization.md
@@ -131,11 +131,7 @@ If you want to save a state dictionary (e.g. a mapping between layer names and r
 [[autodoc]] huggingface_hub.save_torch_state_dict
 
 
-The `serialization` module also contains low-level helpers to split a state dictionary into several shards, while creating a proper index in the process. These helpers are available for `torch` and `tensorflow` tensors and are designed to be easily extended to any other ML frameworks.
-
-### split_tf_state_dict_into_shards
-
-[[autodoc]] huggingface_hub.split_tf_state_dict_into_shards
+The `serialization` module also contains low-level helpers to split a state dictionary into several shards, while creating a proper index in the process. These helpers are available for `torch` tensors and are designed to be easily extended to any other ML frameworks.
 
 ### split_torch_state_dict_into_shards
 
@@ -159,7 +155,6 @@ The loading helpers support both single-file and sharded checkpoints in either s
 
 [[autodoc]] huggingface_hub.load_state_dict_from_file
 
-
 ## Tensors helpers
 
 ### get_torch_storage_id

diff --git a/docs/source/fr/installation.md b/docs/source/fr/installation.md
@@ -48,17 +48,13 @@ Toutefois, certaines fonctionnalités de `huggingface_hub` ne seront pas disponi
 
 Vous pouvez installer des dépendances optionnelles via `pip`:
 ```bash
-#Installation des dépendances pour les fonctionnalités spécifiques à Tensorflow.
-#/!\ Attention : cette commande n'est pas équivalente à `pip install tensorflow`.
-pip install 'huggingface_hub[tensorflow]'
-
 #Installation des dépendances spécifiques à Pytorch et au CLI.
 pip install 'huggingface_hub[cli,torch]'
 ```
 
 Voici une liste des dépendances optionnelles dans `huggingface_hub`:
 - `cli` fournit une interface d'invite de commande plus pratique pour `huggingface_hub`.
-- `fastai`, `torch` et `tensorflow` sont des dépendances pour utiliser des fonctionnalités spécifiques à un framework.
+- `fastai`, `torch` sont des dépendances pour utiliser des fonctionnalités spécifiques à un framework.
 - `dev` permet de contribuer à la librairie. Cette dépendance inclut `testing` (pour lancer des tests), `typing` (pour lancer le vérifieur de type) et `quality` (pour lancer des linters).
 
 

diff --git a/docs/source/hi/installation.md b/docs/source/hi/installation.md
@@ -46,17 +46,13 @@ pip install --upgrade huggingface_hub
 
 आप `pip` के माध्यम से वैकल्पिक निर्भरताएँ स्थापित कर सकते हैं:
 ```bash
-# Install dependencies for tensorflow-specific features
-# /!\ Warning: this is not equivalent to `pip install tensorflow`
-pip install 'huggingface_hub[tensorflow]'
-
 # Install dependencies for both torch-specific and CLI-specific features.
 pip install 'huggingface_hub[cli,torch]'
 ```
 
 यहां `huggingface_hub` में वैकल्पिक निर्भरताओं की सूची दी गई है:
 - `cli`: `huggingface_hub` के लिए अधिक सुविधाजनक CLI इंटरफ़ेस प्रदान करें।
-- `fastai`, `torch`, `tensorflow`: फ्रेमवर्क-विशिष्ट सुविधाओं को चलाने के लिए निर्भरताएँ।
+- `fastai`, `torch`: फ्रेमवर्क-विशिष्ट सुविधाओं को चलाने के लिए निर्भरताएँ।
 - `dev`: lib में योगदान करने के लिए निर्भरताएँ। इसमें 'परीक्षण' (परीक्षण चलाने के लिए), 'टाइपिंग' (टाइप चेकर चलाने के लिए) और 'गुणवत्ता' (लिंटर चलाने के लिए) शामिल हैं।
 
 

diff --git a/docs/source/ko/guides/cli.md b/docs/source/ko/guides/cli.md
@@ -455,7 +455,6 @@ Copy-and-paste the text below in your GitHub issue.
 - Who am I ?: Wauplin
 - Configured git credential helpers: store
 - FastAI: N/A
-- Tensorflow: 2.11.0
 - Torch: 1.12.1
 - Jinja2: 3.1.2
 - Graphviz: 0.20.1

diff --git a/docs/source/ko/installation.md b/docs/source/ko/installation.md
@@ -46,17 +46,13 @@ pip install --upgrade huggingface_hub
 
 선택적 의존성은 `pip`을 통해 설치할 수 있습니다:
 ```bash
-# TensorFlow 관련 기능에 대한 의존성을 설치합니다.
-# /!\ 경고: `pip install tensorflow`와 동일하지 않습니다.
-pip install 'huggingface_hub[tensorflow]'
-
 # PyTorch와 CLI와 관련된 기능에 대한 의존성을 모두 설치합니다.
 pip install 'huggingface_hub[cli,torch]'
 ```
 
 다음은 `huggingface_hub`의 선택 의존성 목록입니다:
 - `cli`: 보다 편리한 `huggingface_hub`의 CLI 인터페이스입니다.
-- `fastai`, `torch`, `tensorflow`: 프레임워크별 기능을 실행하려면 필요합니다.
+- `fastai`, `torch`: 프레임워크별 기능을 실행하려면 필요합니다.
 - `dev`: 라이브러리에 기여하고 싶다면 필요합니다. 테스트 실행을 위한 `testing`, 타입 검사기 실행을 위한 `typing`, 린터 실행을 위한 `quality`가 포함됩니다.
 
 ### 소스에서 설치 [[install-from-source]]

diff --git a/docs/source/ko/package_reference/serialization.md b/docs/source/ko/package_reference/serialization.md
@@ -8,11 +8,7 @@ rendered properly in your Markdown viewer.
 
 ## 상태 사전을 샤드로 나누기[[split-state-dict-into-shards]]
 
-현재 이 모듈은 상태 딕셔너리(예: 레이어 이름과 관련 텐서 간의 매핑)를 받아 여러 샤드로 나누고, 이 과정에서 적절한 인덱스를 생성하는 단일 헬퍼를 포함하고 있습니다. 이 헬퍼는 `torch`, `tensorflow`, `numpy` 텐서에 사용 가능하며, 다른 ML 프레임워크로 쉽게 확장될 수 있도록 설계되었습니다.
-
-### split_tf_state_dict_into_shards[[huggingface_hub.split_tf_state_dict_into_shards]]
-
-[[autodoc]] huggingface_hub.split_tf_state_dict_into_shards
+현재 이 모듈은 상태 딕셔너리(예: 레이어 이름과 관련 텐서 간의 매핑)를 받아 여러 샤드로 나누고, 이 과정에서 적절한 인덱스를 생성하는 단일 헬퍼를 포함하고 있습니다. 이 헬퍼는 `torch` 텐서에 사용 가능하며, 다른 ML 프레임워크로 쉽게 확장될 수 있도록 설계되었습니다.
 
 ### split_torch_state_dict_into_shards[[huggingface_hub.split_torch_state_dict_into_shards]]
 

diff --git a/docs/source/tm/installation.md b/docs/source/tm/installation.md
@@ -43,17 +43,13 @@ pip install --upgrade huggingface_hub
 நீங்கள் விருப்பத் தேவைப்படும் சார்புகளை `pip` மூலம் நிறுவலாம்:
 
 ```bash
-# டென்சர்‌ஃபிளோவுக்கான குறிப்பிட்ட அம்சங்களுக்கு சார்ந்த பொறுப்பு நிறுவவும்
-# /!\ எச்சரிக்கை: இது `pip install tensorflow` க்கு சமமாகக் கருதப்படாது
-pip install 'huggingface_hub[tensorflow]'
-
 # டார்ச்-குறிப்பிட்ட மற்றும் CLI-குறிப்பிட்ட அம்சங்களுக்கு தேவையான பொறுப்புகளை நிறுவவும்.
 pip install 'huggingface_hub[cli,torch]'
 ```
 `huggingface_hub`-இல் உள்ள விருப்பத் தேவைப்படும் சார்புகளின் பட்டியல்:
 
 - `cli`: `huggingface_hub`-க்கு மிகவும் வசதியான CLI இடைமுகத்தை வழங்குகிறது.
-- `fastai`, `torch`, `tensorflow`: வடிவமைப்பு குறிப்பிட்ட அம்சங்களை இயக்க தேவையான சார்புகள்.
+- `fastai`, `torch`: வடிவமைப்பு குறிப்பிட்ட அம்சங்களை இயக்க தேவையான சார்புகள்.
 - `dev`: நூலகத்திற்கு பங்களிக்க தேவையான சார்புகள். இதில் சோதனை (சோதனைகளை இயக்க), வகை சோதனை (வகை சரிபார்ப்பு ஐ இயக்க) மற்றும் தரம் (லிண்டர்கள் ஐ இயக்க) உள்ளன.
 
 ### மூலத்திலிருந்து நிறுவல்

diff --git a/setup.py b/setup.py
@@ -54,16 +54,6 @@ def get_version() -> str:
     "fastcore>=1.3.27",
 ]
 
-extras["tensorflow"] = [
-    "tensorflow",
-    "pydot",
-    "graphviz",
-]
-
-extras["tensorflow-testing"] = [
-    "tensorflow",
-]
-
 extras["hf_xet"] = ["hf-xet>=1.1.2,<2.0.0"]
 
 extras["mcp"] = [

diff --git a/src/huggingface_hub/__init__.py b/src/huggingface_hub/__init__.py
@@ -488,15 +488,13 @@
     ],
     "serialization": [
         "StateDictSplit",
-        "get_tf_storage_size",
         "get_torch_storage_id",
         "get_torch_storage_size",
         "load_state_dict_from_file",
         "load_torch_model",
         "save_torch_model",
         "save_torch_state_dict",
         "split_state_dict_into_shards_factory",
-        "split_tf_state_dict_into_shards",
         "split_torch_state_dict_into_shards",
     ],
     "serialization._dduf": [
@@ -869,7 +867,6 @@
     "get_session",
     "get_space_runtime",
     "get_space_variables",
-    "get_tf_storage_size",
     "get_token",
     "get_torch_storage_id",
     "get_torch_storage_size",
@@ -950,7 +947,6 @@
     "snapshot_download",
     "space_info",
     "split_state_dict_into_shards_factory",
-    "split_tf_state_dict_into_shards",
     "split_torch_state_dict_into_shards",
     "super_squash_history",
     "suspend_scheduled_job",
@@ -1494,15 +1490,13 @@ def __dir__():
     )
     from .serialization import (
         StateDictSplit,  # noqa: F401
-        get_tf_storage_size,  # noqa: F401
         get_torch_storage_id,  # noqa: F401
         get_torch_storage_size,  # noqa: F401
         load_state_dict_from_file,  # noqa: F401
         load_torch_model,  # noqa: F401
         save_torch_model,  # noqa: F401
         save_torch_state_dict,  # noqa: F401
         split_state_dict_into_shards_factory,  # noqa: F401
-        split_tf_state_dict_into_shards,  # noqa: F401
         split_torch_state_dict_into_shards,  # noqa: F401
     )
     from .serialization._dduf import (

diff --git a/src/huggingface_hub/serialization/__init__.py b/src/huggingface_hub/serialization/__init__.py
@@ -15,7 +15,6 @@
 """Contains helpers to serialize tensors."""
 
 from ._base import StateDictSplit, split_state_dict_into_shards_factory
-from ._tensorflow import get_tf_storage_size, split_tf_state_dict_into_shards
 from ._torch import (
     get_torch_storage_id,
     get_torch_storage_size,

diff --git a/src/huggingface_hub/serialization/_tensorflow.py b/src/huggingface_hub/serialization/_tensorflow.py