Adapt and test huggingface_hub v1.0.0 by Wauplin · Pull Request #40889 · huggingface/transformers

Wauplin · 2025-09-15T14:07:11Z

Test as part of huggingface/huggingface_hub#3340

The main changes in huggingface_hub impacting transformers are:

Repository removed
HfFolder removed
migrated to httpx instead of requests

List of changes made in this PR:

removed all imports that were commented with # for backward compatibility
replaced requests exceptions by httpx ones in testing utils
Trainer returns a CommitInfo (which is a subclass of str) => was already the case before but not type annotated
allow_redirects => renamed follow_redirects in httpx
proxies => argument is now ignored. Proxies must be set globally via env variable, not in script. If user passes a proxies, a warning is emitted and the process continues (ignoring the proxy)
all requests.HTTPError are replaced by some huggingface_hub.HfHubHTTPError (which inherits from httpx.HTTPError)
removed test_dynamic_saving_from_local_repo as it was commented as "# to be removed when huggingface_hub v1 comes out"
removed all HfFolder occurrences from the tests => they were not relevant anyway
migrated most "Repository clone from" by snapshot_download and "Repository push_to_hub" by upload_folder
removed ModelFilter from utils/update_tiny_models.py (to be fair it has been removed since quite some time so this script is currently broken on main)
switched a lot of requests.get into httpx.get in the code. However:
- it'd be very beneficial to define a single client for them to benefit from connection pooling => that's out of scope for this PR
- a LOT of requests calls is happening in ./models/ and test_models/ so I won't change them => it'd be good in transformers v5 to get rid of requests dependency entirely => also out of scope for this PR

TODO: (later?)

adapt utils/create_dummy_models.py => currently using Repository [cleanup] Don't use Repository in create_dummy_models.py script #42380
~~remove back manual install of huggingface_hub 1.0.0.rc0 once tokenizers is out~~
~~what to do with KerasCallback? => got deleted~~
in v5, all use_auth_token logic must be removed (currently throws warnings) Remove deprecated use_auth_token parameter #41666

HuggingFaceDocBuilderDev · 2025-09-15T14:16:31Z

The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

ydshieh · 2025-09-19T09:14:06Z

python -m pytest -v tests/models/zoedepth/test_image_processing_zoedepth.py::ZoeDepthImageProcessingTest::test_slow_fast_equivalence

The following failure is related (see below)

 dummy_image = Image.open(

        httpx.get("http://images.cocodataset.org/val2017/000000039769.jpg", follow_redirects=True).content
    )

Is httpx works well with Image.open or in general with image?

The same failure happens many times in the job tests_processors

https://app.circleci.com/pipelines/github/huggingface/transformers/146796/workflows/8cffc93e-ca8e-4fd3-b01b-984033ee4ac1/jobs/1938513/parallel-runs/7?filterBy=FAILED

python -m pytest -v tests/models/zoedepth/test_image_processing_zoedepth.py::ZoeDepthImageProcessingTest::test_slow_fast_equivalence

============================================================================================ FAILURES =============================================================================================
_____________________________________________________________________ ZoeDepthImageProcessingTest.test_slow_fast_equivalence ______________________________________________________________________

self = <tests.models.zoedepth.test_image_processing_zoedepth.ZoeDepthImageProcessingTest testMethod=test_slow_fast_equivalence>

    @require_vision
    @require_torch
    def test_slow_fast_equivalence(self):
        if not self.test_slow_image_processor or not self.test_fast_image_processor:
            self.skipTest(reason="Skipping slow/fast equivalence test")

        if self.image_processing_class is None or self.fast_image_processing_class is None:
            self.skipTest(reason="Skipping slow/fast equivalence test as one of the image processors is not defined")

>       dummy_image = Image.open(
            httpx.get("http://images.cocodataset.org/val2017/000000039769.jpg", follow_redirects=True).content
        )

tests/test_image_processing_common.py:184: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
/usr/local/lib/python3.9/site-packages/PIL/Image.py:3466: in open
    filename = os.path.realpath(os.fspath(fp))
/usr/local/lib/python3.9/posixpath.py:392: in realpath
    path, ok = _joinrealpath(filename[:0], filename, strict, {})
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

path = b''
rest = b'\\)\xa4\x81\x17\xb5\xac\x97\xe9\x96\x98\nZh\x01U@*6\xb1\xdc\x1ew\x00\x0e\x9c\xbfLX\x12\x1ac\x08\xc9\x1d\xf0T\x86\x0b...f\x00\xd3Ff \x10v\xdb\xad\x85\xaf\xd0\x0e\x9b\xe2\x8d\xa7\xd4v``\xba\xbd\xd6s\xfe\xa3\xb3\xb6\xa5\xc3Z\xea\xbf\xff\xd9'
strict = False, seen = {}

    def _joinrealpath(path, rest, strict, seen):
        if isinstance(path, bytes):
            sep = b'/'
            curdir = b'.'
            pardir = b'..'
        else:
            sep = '/'
            curdir = '.'
            pardir = '..'
            getcwd = os.getcwd
        if strict is ALLOW_MISSING:
            ignored_error = FileNotFoundError
        elif strict:
            ignored_error = ()
        else:
            ignored_error = OSError

        maxlinks = None

        if isabs(rest):
            rest = rest[1:]
            path = sep

        while rest:
            name, _, rest = rest.partition(sep)
            if not name or name == curdir:
                # current dir
                continue
            if name == pardir:
                # parent dir
                if path:
                    path, name = split(path)
                    if name == pardir:
                        path = join(path, pardir, pardir)
                else:
                    path = pardir
                continue
            newpath = join(path, name)
            try:
>               st = os.lstat(newpath)
E               ValueError: lstat: embedded null character in path

/usr/local/lib/python3.9/posixpath.py:436: ValueError
===================================================================================== short test summary info =====================================================================================
FAILED tests/models/zoedepth/test_image_processing_zoedepth.py::ZoeDepthImageProcessingTest::test_slow_fast_equivalence - ValueError: lstat: embedded null character in path

ydshieh · 2025-09-19T09:22:02Z

python -m pytest -v tests/utils/test_tokenization_utils.py::TokenizerUtilTester::test_cached_files_are_used_when_internet_is_down

python -m pytest -v tests/utils/test_tokenization_utils.py::TokenizerUtilTester::test_cached_files_are_used_when_internet_is_down_missing_files

are also related to this PR.

============================================================================================ FAILURES =============================================================================================
______________________________________________________________ TokenizerUtilTester.test_cached_files_are_used_when_internet_is_down _______________________________________________________________

self = <tests.utils.test_tokenization_utils.TokenizerUtilTester testMethod=test_cached_files_are_used_when_internet_is_down>

    def test_cached_files_are_used_when_internet_is_down(self):
        # A mock response for an HTTP head request to emulate server down
        response_mock = mock.Mock()
        response_mock.status_code = 500
        response_mock.headers = {}
        response_mock.raise_for_status.side_effect = httpx.HTTPError("failed")
        response_mock.json.return_value = {}

        # Download this model to make sure it's in the cache.
        _ = BertTokenizer.from_pretrained("hf-internal-testing/tiny-random-bert")

        # Under the mock environment we get a 500 error when trying to reach the tokenizer.
        with mock.patch("httpx.Client.request", return_value=response_mock) as mock_head:
>           _ = BertTokenizer.from_pretrained("hf-internal-testing/tiny-random-bert")

tests/utils/test_tokenization_utils.py:60:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
src/transformers/tokenization_utils_base.py:2043: in from_pretrained
    for template in list_repo_templates(
src/transformers/utils/hub.py:166: in list_repo_templates
    return [
src/transformers/utils/hub.py:166: in <listcomp>
    return [
/usr/local/lib/python3.9/site-packages/huggingface_hub/hf_api.py:3083: in list_repo_tree
    for path_info in paginate(path=tree_url, headers=headers, params={"recursive": recursive, "expand": expand}):
/usr/local/lib/python3.9/site-packages/huggingface_hub/utils/_pagination.py:37: in paginate
    hf_raise_for_status(r)
/usr/local/lib/python3.9/site-packages/huggingface_hub/utils/_http.py:560: in hf_raise_for_status
    response.raise_for_status()
/usr/local/lib/python3.9/unittest/mock.py:1092: in __call__
    return self._mock_call(*args, **kwargs)
/usr/local/lib/python3.9/unittest/mock.py:1096: in _mock_call
    return self._execute_mock_call(*args, **kwargs)
/usr/local/lib/python3.9/unittest/mock.py:1151: in _execute_mock_call
    raise effect
src/transformers/utils/hub.py:477: in cached_files
    hf_hub_download(
/usr/local/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py:89: in _inner_fn
    return fn(*args, **kwargs)
/usr/local/lib/python3.9/site-packages/huggingface_hub/file_download.py:937: in hf_hub_download
    return _hf_hub_download_to_cache_dir(
/usr/local/lib/python3.9/site-packages/huggingface_hub/file_download.py:998: in _hf_hub_download_to_cache_dir
    (url_to_download, etag, commit_hash, expected_size, xet_file_data, head_call_error) = _get_metadata_or_catch_error(
/usr/local/lib/python3.9/site-packages/huggingface_hub/file_download.py:1453: in _get_metadata_or_catch_error
    metadata = get_hf_file_metadata(
/usr/local/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py:89: in _inner_fn
    return fn(*args, **kwargs)
/usr/local/lib/python3.9/site-packages/huggingface_hub/file_download.py:1379: in get_hf_file_metadata
    response = _httpx_follow_relative_redirects(method="HEAD", url=url, headers=hf_headers, timeout=timeout)
/usr/local/lib/python3.9/site-packages/huggingface_hub/file_download.py:266: in _httpx_follow_relative_redirects
    hf_raise_for_status(response)
/usr/local/lib/python3.9/site-packages/huggingface_hub/utils/_http.py:560: in hf_raise_for_status
    response.raise_for_status()
/usr/local/lib/python3.9/unittest/mock.py:1092: in __call__
    return self._mock_call(*args, **kwargs)
/usr/local/lib/python3.9/unittest/mock.py:1096: in _mock_call
    return self._execute_mock_call(*args, **kwargs)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <Mock name='mock.raise_for_status' id='140314207904624'>, args = (), kwargs = {}, effect = HTTPError('failed')

    def _execute_mock_call(self, /, *args, **kwargs):
        # separate from _increment_mock_call so that awaited functions are
        # executed separately from their call, also AsyncMock overrides this method

        effect = self.side_effect
        if effect is not None:
            if _is_exception(effect):
>               raise effect
E               httpx.HTTPError: failed

/usr/local/lib/python3.9/unittest/mock.py:1151: HTTPError
======================================================================================== warnings summary =========================================================================================
<frozen importlib._bootstrap>:228
  <frozen importlib._bootstrap>:228: DeprecationWarning: builtin type SwigPyPacked has no __module__ attribute

<frozen importlib._bootstrap>:228
  <frozen importlib._bootstrap>:228: DeprecationWarning: builtin type SwigPyObject has no __module__ attribute

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
===================================================================================== short test summary info =====================================================================================
FAILED tests/utils/test_tokenization_utils.py::TokenizerUtilTester::test_cached_files_are_used_when_internet_is_down - httpx.HTTPError: failed
================================================================================== 1 failed, 2 warnings in 0.91s ==================================================================================

ydshieh · 2025-09-19T09:36:21Z

python -m pytest -v tests/extended/test_trainer_ext.py::TestTrainerExt::test_run_seq2seq_no_dist

This pass when I ssh into a CircleCI runner. Could ignore for now and will check later

ydshieh · 2025-09-19T09:40:15Z

There are some

AttributeError: module 'huggingface_hub.hf_api' has no attribute 'HfFolder'

for example

python -m pytest -v examples/pytorch/test_accelerate_examples.py::ExamplesTestsNoTrainer::test_run_swag_no_trainer

But I'm not able to reproduce when I ssh into a CircleCI runner. Could check later.

ydshieh · 2025-09-23T06:56:28Z

There are some failing tests (in the complete CI runs) that seems irrelevant at a first glance but actually related surprisingly.

HF_HOME=/mnt/cache RUN_SLOW=1 python3 -m pytest -v tests/generation/test_continuous_batching.py::ContinuousBatchingTest::test_continuous_batching_parity_gemma_eager

fails with 1.0 rc but pass with 0.35.

Add HF_TOKEN=hf_XXX works with 1.0 rc. Could you check this ?

same for

tests/models/gemma/test_modeling_gemma.py::GemmaIntegrationTest::test_model_2b_bf16_dola

ydshieh · 2025-09-23T07:11:30Z

tests/peft_integration/test_peft_integration.py::PeftIntegrationTester::test_peft_pipeline_no_warning

also fails with this PR

        from transformers import pipeline

        ADAPTER_PATH = "peft-internal-testing/tiny-OPTForCausalLM-lora"
        BASE_PATH = "hf-internal-testing/tiny-random-OPTForCausalLM"

        # Input text for testing
        text = "Who is a Elon Musk?"

        model = AutoModelForCausalLM.from_pretrained(
            BASE_PATH,
            device_map="auto",
        )
        tokenizer = AutoTokenizer.from_pretrained(BASE_PATH)

>       lora_model = PeftModel.from_pretrained(
            model,
            ADAPTER_PATH,
            device_map="auto",
        )

tests/peft_integration/test_peft_integration.py:865:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/usr/local/lib/python3.10/dist-packages/peft/peft_model.py:441: in from_pretrained
    PeftConfig._get_peft_type(
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

cls = <class 'peft.config.PeftConfig'>, model_id = 'peft-internal-testing/tiny-OPTForCausalLM-lora', hf_hub_download_kwargs = {'cache_dir': None, 'revision': None, 'subfolder': None, 'token': None, ...}, subfolder = None, path = 'peft-internal-testing/tiny-OPTForCausalLM-lora'

    @classmethod
    def _get_peft_type(
        cls,
        model_id: str,
        **hf_hub_download_kwargs,
    ):
        subfolder = hf_hub_download_kwargs.get("subfolder", None)

        path = os.path.join(model_id, subfolder) if subfolder is not None else model_id

        if os.path.isfile(os.path.join(path, CONFIG_NAME)):
            config_file = os.path.join(path, CONFIG_NAME)
        else:
            try:
                config_file = hf_hub_download(
                    model_id,
                    CONFIG_NAME,
                    **hf_hub_download_kwargs,
                )
            except Exception:
>               raise ValueError(f"Can't find '{CONFIG_NAME}' at '{model_id}'")
E               ValueError: Can't find 'adapter_config.json' at 'peft-internal-testing/tiny-OPTForCausalLM-lora'

/usr/local/lib/python3.10/dist-packages/peft/config.py:268: ValueError

ydshieh · 2025-09-23T07:13:36Z

tests/pipelines/test_pipelines_text_to_audio.py::TextToAudioPipelineTests::test_csm_model_pt

same error as the first and second one

ydshieh · 2025-09-23T07:15:44Z

if you need to see the job run pages

https://github.com/huggingface/transformers/actions/runs/17923228517/job/50963407968

* Adapt and test huggingface_hub v1.0.0.rc0 * forgot to bump hfh * bump * code quality * code quality * relax dependency table * fix has_file * install hfh 1.0.0.rc0 in circle ci jobs * repostiryo * push to hub now returns a commit url * catch HfHubHTTPError * check commit on branch * add it back * fix ? * remove deprecated test * uncomment another test * trigger * no proxies * many more small changes * fix load PIL Image from httpx * require 1.0.0.rc0 * fix mocked tests * fix others * unchange * unchange * args * Update .circleci/config.yml --------- Co-authored-by: Wauplin <lucainp@gmail.com>

ydshieh · 2025-09-23T07:40:45Z

The CI (circleci) against python 3.10 is fine 🎉

…ngface/transformers into ci-test-huggingface-hub-v1.0.0.rc0

github-actions · 2025-09-25T07:50:23Z

[For maintainers] Suggested jobs to run (before merge)

run-slow: auto

ydshieh

CI looks fine:

On CircleCI, they pass both on python 3.9 and now 3.10
on Github Actions (daily scheduled CI), there are only 13 new failing tests compared to a previous run (of the same commit) on the main branch, and they look irrelevant.

The PR is ready to be merged to main 🚀 Let's go

Wauplin · 2025-09-25T08:30:20Z

Yay! thanks for confirming! 🎉

I will work on the remaining TODOs in separate PRs.

* Adapt and test huggingface_hub v1.0.0.rc0 * forgot to bump hfh * bump * code quality * code quality * relax dependency table * fix has_file * install hfh 1.0.0.rc0 in circle ci jobs * repostiryo * push to hub now returns a commit url * catch HfHubHTTPError * check commit on branch * add it back * fix ? * remove deprecated test * uncomment another test * trigger * no proxies * many more small changes * fix load PIL Image from httpx * require 1.0.0.rc0 * fix mocked tests * fix others * unchange * unchange * args * Update .circleci/config.yml * Bump to 1.0.0.rc1 * bump kernels version * fix deps

Adapt and test huggingface_hub v1.0.0.rc0

200852e

Wauplin added 18 commits September 15, 2025 16:47

forgot to bump hfh

9d681ef

bump

3e9c1d6

code quality

b562554

code quality

8a0dd1b

relax dependency table

c4ad0b2

fix has_file

9b7d404

install hfh 1.0.0.rc0 in circle ci jobs

6dc72c2

repostiryo

1592a16

push to hub now returns a commit url

61f3530

catch HfHubHTTPError

fc3c183

check commit on branch

990d6d0

add it back

10d4fb0

fix ?

98daf34

remove deprecated test

e760990

uncomment another test

5e92130

trigger

3deeadd

no proxies

d010fbc

many more small changes

528e84b

Wauplin added 3 commits September 19, 2025 14:40

fix load PIL Image from httpx

b45ebc7

require 1.0.0.rc0

084ea01

Mt perge branch 'main' into ci-test-huggingface-hub-v1.0.0.rc0

ae9a305

Wauplin mentioned this pull request Sep 19, 2025

Bump huggingface_hub upper bound <2.0 huggingface/kernels#151

Merged

Wauplin added 2 commits September 19, 2025 15:52

fix mocked tests

14e9907

fix others

e7c94d5

ydshieh added a commit that referenced this pull request Sep 23, 2025

trigger CircleCI with python 3.10 for #40889

54b4dae

ydshieh added a commit that referenced this pull request Sep 23, 2025

trigger CircleCI with python 3.10 for #40889

c7ee1f7

Wauplin added 2 commits September 24, 2025 11:57

Bump to 1.0.0.rc1

ea56169

Merge branch 'ci-test-huggingface-hub-v1.0.0.rc0' of github.com:huggi…

4974ef0

…ngface/transformers into ci-test-huggingface-hub-v1.0.0.rc0

Wauplin changed the title ~~Adapt and test huggingface_hub v1.0.0.rc0~~ Adapt and test huggingface_hub v1.0.0 Sep 24, 2025

Wauplin added 3 commits September 24, 2025 12:05

Merge branch 'main' into ci-test-huggingface-hub-v1.0.0.rc0

74372df

bump kernels version

9c13643

fix deps

1ab8c3e

Wauplin mentioned this pull request Sep 24, 2025

[do not merge] Test/adapt huggingface_hub v1.0.0 huggingface/diffusers#12384

Closed

Merge branch 'main' into ci-test-huggingface-hub-v1.0.0.rc0

13a4745

ydshieh approved these changes Sep 25, 2025

View reviewed changes

Wauplin enabled auto-merge (squash) September 25, 2025 08:30

Wauplin merged commit 44682e7 into main Sep 25, 2025
31 of 33 checks passed

Wauplin deleted the ci-test-huggingface-hub-v1.0.0.rc0 branch September 25, 2025 11:13

Wauplin mentioned this pull request Sep 25, 2025

Support both huggingface_hub v0.x and v1.x huggingface/diffusers#12389

Merged

jerryzh168 mentioned this pull request Oct 2, 2025

HTTP proxies via env variables no longer working in the main branch of transformers #41301

Closed

4 tasks

Wauplin mentioned this pull request Oct 10, 2025

Welcome v5 #40822

Closed

Wauplin mentioned this pull request Nov 25, 2025

[cleanup] Don't use Repository in create_dummy_models.py script #42380

Merged

CoderTCY mentioned this pull request Dec 11, 2025

Remove unnessary requests module #42817

Closed

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