Releases · huggingface/huggingface_hub

28 Nov 10:16

hanouticelina

v0.26.3

d7bead5

[v0.26.3]: Fix timestamp parsing to always include milliseconds Latest

Latest

Full Changelog: v0.26.2...v0.26.3

See #2683 for more details.

Assets 2

28 Oct 14:49

hanouticelina

v0.26.2

ee4c163

[v0.26.2] Fix: Reflect API response changes in file and repo security status fields

This patch release includes updates to align with recent API response changes:

Update how file's security metadata is retrieved following changes in the API response (#2621).
Expose repo security status field in ModelInfo (#2639).

Full Changelog: v0.26.1...v0.26.2

Assets 2

21 Oct 13:41

hanouticelina

v0.26.1

812971b

[v0.26.1] Hot-fix: fix Python 3.8 support for `huggingface-cli` commands

Full Changelog: v0.26.0...v0.26.1

See #2620 for more details.

Assets 2

17 Oct 15:21

hanouticelina

v0.26.0

126750f

v0.26.0: Multi-tokens support, conversational VLMs and quality of life improvements

🔐 Multiple access tokens support

Managing fine-grained access tokens locally just became much easier and more efficient!
Fine-grained tokens let you create tokens with specific permissions, making them especially useful in production environments or when working with external organizations, where strict access control is essential.

To make managing these tokens easier, we've added a ✨ new set of CLI commands ✨ that allow you to handle them programmatically:

Store multiple tokens on your machine by simply logging in with the login() command with each token:

huggingface-cli login

Switch between tokens and choose the one that will be used for all interactions with the Hub:

huggingface-cli auth switch

List available access tokens on your machine:

huggingface-cli auth list

Delete a specific token from your machine with:

huggingface-cli logout [--token-name TOKEN_NAME]

✅ Nothing changes if you are using the HF_TOKEN environment variable as it takes precedence over the token set via the CLI. More details in the documentation. 🤗

Support multiple tokens locally by @hanouticelina in #2549

⚡️ InferenceClient improvements

🖼️ Conversational VLMs support

Conversational vision-language models inference is now supported with InferenceClient's chat completion!

from huggingface_hub import InferenceClient

# works with remote url or base64 encoded url
image_url ="https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"

client = InferenceClient("meta-llama/Llama-3.2-11B-Vision-Instruct")
output = client.chat.completions.create(
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "image_url",
                    "image_url": {"url": image_url},
                },
                {
                    "type": "text",
                    "text": "Describe this image in one sentence.",
                },
            ],
        },
    ],
)

print(output.choices[0].message.content)
#A determine figure of Lady Liberty stands tall, holding a torch aloft, atop a pedestal on an island.

🔧 More complete support for inference parameters

You can now pass additional inference parameters to more task methods in the InferenceClient, including: image_classification, text_classification, image_segmentation, object_detection, document_question_answering and more!
For more details, visit the InferenceClient reference guide.

✅ Of course, all of those changes are also available in the AsyncInferenceClient async equivalent 🤗

Support VLM in chat completion (+some specs updates) by @Wauplin in #2556
[Inference Client] Add task parameters and a maintenance script of these parameters by @hanouticelina in #2561
Document vision chat completion with Llama 3.2 11B V by @Wauplin in #2569

✨ HfApi

update_repo_settings can now be used to switch visibility status of a repo. This is a drop-in replacement for update_repo_visibility which is deprecated and will be removed in version v0.29.0.

- update_repo_visibility(repo_id, private=True)
+ update_repo_settings(repo_id, private=True)

Feature: switch visibility with update_repo_settings by @WizKnight in #2541

📄 Daily papers API is now supported in huggingface_hub, enabling you to search for papers on the Hub and retrieve detailed paper information.

>>> from huggingface_hub import HfApi

>>> api = HfApi()
# List all papers with "attention" in their title
>>> api.list_papers(query="attention")
# Get paper information for the "Attention Is All You Need" paper
>>> api.paper_info(id="1706.03762")

Daily Papers API by @hlky in #2554

🌐 📚 Documentation

Efforts from the Tamil-speaking community to translate guides and package references to TM! Check out the result here.

Translated index.md and installation.md to Tamil by @Raghul-M in #2555

💔 Breaking changes

A few breaking changes have been introduced:

cached_download(), url_to_filename(), filename_to_url() methods are now completely removed. From now on, you will have to use hf_hub_download() to benefit from the new cache layout.
legacy_cache_layout argument from hf_hub_download() has been removed as well.

These breaking changes have been announced with a regular deprecation cycle.

Also, any templating-related utility has been removed from huggingface_hub. Client side templating is not necessary now that all conversational text-generation models in InferenceAPI are served with TGI.

Prepare for release 0.26 by @hanouticelina in #2579
Remove templating utility by @Wauplin in #2611

🛠️ Small fixes and maintenance

😌 QoL improvements

docs: move translations to i18n by @SauravMaheshkar in #2566
Preserve card metadata format/ordering on load->save by @hlky in #2570
Remove raw HTML from error message content and improve request ID capture by @hanouticelina in #2584
[Inference Client] Factorize inference payload build by @hanouticelina in #2601
Use proper logging in auth module by @hanouticelina in #2604

🐛 fixes

Use repo_type in HfApi.grant_access url by @albertvillanova in #2551
Raise error if encountered in chat completion SSE stream by @Wauplin in #2558
Add 500 HTTP Error to retry list by @farzadab in #2567
Add missing documentation by @adiaholic in #2572
Serialization: take into account meta tensor when splitting the state_dict by @SunMarc in #2591
Fix snapshot download when local_dir is provided. by @hanouticelina in #2592
Fix PermissionError while creating '.no_exist/' directory in cache by @Wauplin in #2594
Fix 2609 - Import packaging by default by @Wauplin in #2610

🏗️ internal

Fix test by @Wauplin in #2582
Make SafeTensorsInfo.parameters a Dict instead of List by @adiaholic in #2585
Fix tests listing text generation models by @Wauplin in #2593
Skip flaky Repository test by @Wauplin in #2595
Support python 3.12 by @hanouticelina in #2605

Significant community contributions

The following contributors have made significant changes to the library over the last release:

@SauravMaheshkar
- docs: move translations to i18n (#2566)
@WizKnight
- Feature: switch visibility with update_repo_settings #2537 (#2541)
@hlky
- Preserve card metadata format/ordering on load->save (#2570)
- Daily Papers API (#2554)
@Raghul-M
- Translated index.md and installation.md to Tamil (#2555)

Contributors

farzadab, albertvillanova, and 8 other contributors

Assets 2

09 Oct 08:35

hanouticelina

v0.25.2

5eef179

[v0.25.2]: Fix snapshot download when `local_dir` is provided

Full Changelog : v0.25.1...v0.25.2
For more details, refer to the related PR #2592

Assets 2

23 Sep 13:28

hanouticelina

v0.25.1

f7dc3fd

[v0.25.1]: Raise error if encountered in chat completion SSE stream

Full Changelog : v0.25.0...v0.25.1
For more details, refer to the related PR #2558

Assets 2

17 Sep 16:36

Wauplin

v0.25.0

10e403d

v0.25.0: Large uploads made simple + quality of life improvements

📂 Upload large folders

Uploading large models or datasets is challenging. We've already written some tips and tricks to facilitate the process but something was still missing. We are now glad to release the huggingface-cli upload-large-folder command. Consider it as a "please upload this no matter what, and be quick" command. Contrarily to huggingface-cli download, this new command is more opinionated and will split the upload into several commits. Multiple workers are started locally to hash, pre-upload and commit the files in a way that is resumable, resilient to connection errors, and optimized against rate limits. This feature has already been stress tested by the community over the last months to make it as easy and convenient to use as possible.

Here is how to use it:

huggingface-cli upload-large-folder <repo-id> <local-path> --repo-type=dataset

Every minute, a report is logged with the current status of the files and workers:

---------- 2024-04-26 16:24:25 (0:00:00) ----------
Files:   hashed 104/104 (22.5G/22.5G) | pre-uploaded: 0/42 (0.0/22.5G) | committed: 58/104 (24.9M/22.5G) | ignored: 0
Workers: hashing: 0 | get upload mode: 0 | pre-uploading: 6 | committing: 0 | waiting: 0
---------------------------------------------------

You can also run it from a script:

>>> from huggingface_hub import HfApi
>>> api = HfApi()
>>> api.upload_large_folder(
...     repo_id="HuggingFaceM4/Docmatix",
...     repo_type="dataset",
...     folder_path="/path/to/local/docmatix",
... )

For more details about the command options, run:

huggingface-cli upload-large-folder --help

or visit the upload guide.

CLI to upload arbitrary huge folder by @Wauplin in #2254
Reduce number of commits in upload large folder by @Wauplin in #2546
Suggest using upload_large_folder when appropriate by @Wauplin in #2547

✨ HfApi & CLI improvements

🔍 Search API

The search API have been updated. You can now list gated models and datasets, and filter models by their inference status (warm, cold, frozen).

Add 'gated' search parameter by @Wauplin in #2448
Filter models by inference status by @Wauplin in #2517

More complete support for the expand[] parameter:

Document baseModels and childrenModelCount as expand parameters by @Wauplin in #2475
Better support for trending score by @Wauplin in #2513
Add GGUF as supported expand[] parameter by @Wauplin in #2545

👤 User API

Organizations are now included when retrieving the user overview:

List organizations in get_user_overview by @Wauplin in #2404

get_user_followers and get_user_following are now paginated. This was not the case before, leading to issues for users with more than 1000 followers.

Paginate followers and following endpoints by @Wauplin in #2506

📦 Repo API

Added auth_check to easily verify if a user has access to a repo. It raises GatedRepoError if the repo is gated and the user don't have the permission or RepositoryNotFoundError if the repo does not exist or is private. If the method does not raise an error, you can assume the user has the permission to access the repo.

>>> from huggingface_hub import auth_check
>>> from huggingface_hub.utils import GatedRepoError, RepositoryNotFoundError
try:
    auth_check("user/my-cool-model")
except GatedRepoError:
    # Handle gated repository error
    print("You do not have permission to access this gated repository.")
except RepositoryNotFoundError:
    # Handle repository not found error
    print("The repository was not found or you do not have access.")

implemented auth_check by @cjfghk5697 in #2497

It is now possible to set a repo as gated from a script:

>>> from huggingface_hub import HfApi

>>> api = HfApi()
>>> api.update_repo_settings(repo_id=repo_id, gated="auto")  # Set to "auto", "manual" or False

[Feature] Add update_repo_settings function to HfApi #2447 by @WizKnight in #2502

⚡️ Inference Endpoint API

A few improvements in the InferenceEndpoint API. It's now possible to set a scale_to_zero_timeout parameter + to configure secrets when creating or updating an Inference Endpoint.

Add scale_to_zero_timeout parameter to HFApi.create/update_inference_endpoint by @hommayushi3 in #2463
Update endpoint.update signature by @Wauplin in #2477
feat: ✨ allow passing secrets to the inference endpoint client by @LuisBlanche in #2486

💾 Serialization

The torch serialization module now supports tensor subclasses.
We also made sure that now the library is tested with both torch 1.x and 2.x to ensure compatibility.

Making wrapper tensor subclass to work in serialization by @jerryzh168 in #2440
Torch: test on 1.11 and latest versions + explicitly load with weights_only=True by @Wauplin in #2488

💔 Breaking changes

Breaking changes:

InferenceClient.conversational task has been removed in favor of InferenceClient.chat_completion. Also removed ConversationalOutput data class.
All InferenceClient output values are now dataclasses, not dictionaries.
list_repo_likers is now paginated. This means the output is now an iterator instead of a list.

Deprecation:

multi_commit: bool parameter in upload_folder is not deprecated, along the create_commits_on_pr. It is now recommended to use upload_large_folder instead. Thought its API and internals are different, the goal is still to be able to upload many files in several commits.

Prepare for release 0.25 by @Wauplin in #2400
Paginate repo likers endpoint by @hanouticelina in #2530

🛠️ Small fixes and maintenance

⚡️ InferenceClient fixes

Thanks to community feedback, we've been able to improve or fix significant things in both the InferenceClient and its async version AsyncInferenceClient. This fixes have been mainly focused on the OpenAI-compatible chat_completion method and the Inference Endpoints services.

[Inference] Support stop parameter in text-generation instead of stop_sequences by @Wauplin in #2473
[hot-fix] Handle [DONE] signal from TGI + remove logic for "non-TGI servers" by @Wauplin in #2410
Fix chat completion url for OpenAI compatibility by @Wauplin in #2418
Bug - [InferenceClient] - use proxy set in var env by @morgandiverrez in #2421
Document the difference between model and base_url by @Wauplin in #2431
Fix broken AsyncInferenceClient on [DONE] signal by @Wauplin in #2458
Fix InferenceClient for HF Nvidia NIM API by @Wauplin in #2482
Properly close session in AsyncInferenceClient by @Wauplin in #2496
Fix unclosed aiohttp.ClientResponse objects by @Wauplin in #2528
Fix resolve chat completion URL by @Wauplin in #2540

😌 QoL improvements

When uploading a folder, we validate the README.md file before hashing all the files, not after.
This should save some precious time when uploading large files and a corrupted model card.

Also, it is now possible to pass a --max-workers argument when uploading a folder from the CLI

huggingface-cli upload - Validate README.md before file hashing by @hlky in #2452
Solved: Need to add the max-workers argument to the huggingface-cli command by @devymex in #2500

All custom exceptions raised by huggingface_hub are now defined in huggingface_hub.errors module. This should make it easier to import them for your try/except statements.

Define error by @cjfghk5697 in #2444
Define cache errors in errors.py by @010kim in #2470

At the same occasion, we've reworked how errors are formatted in hf_raise_for_status to print more relevant information to the users.

Refacto error parsing (HfHubHttpError) by @Wauplin in #2474
Raise with more info on 416 invalid range by @Wauplin in #2449

All constants in huggingface_hub are now imported as a module. This makes it easier to patch their values, for example in a test pipeline.

Update constants import to use module-level access #1172 by @WizKnight in #2453
Update constants imports with module level access #1172 by @WizKnight in #2469
Refactor all constant imports to module-level access by @WizKnight in #2489

Other quality of life improvements:

Warn if user tries to upload a parquet file to a model repo by @Wauplin in #2403
Tag repos using HFSummaryWriter with 'hf-summary-writer' by @Wauplin in #2398
Do not raise if branch exists and no write permission by @Wauplin in #2426
expose scan_cache table generation to python by @rsxdalv in #2437
Expose RepoUrl info in CommitInfo object by @Wauplin in #2487
Add new hardware flavors by @apolinario in #2512
http_backoff retry with SliceFileObj by @hlky in #2542
Add version cli command by @010kim in #2498

🐛 fixes

Fix filelock if flock not supported by @Wauplin in #2402
Fix creating empty commit on PR by @Wauplin in #2413
fix expand in CI by @Wauplin (direct commit on main)
Update quick-start.md by @AxHa in #2422
fix repo-files CLI example by @Wauplin in #2428
Do not raise if chmod fails by @Wauplin in #2429
fix .huggingface to .cache/huggingface in doc by @lizzzcai in #2432
Fix shutil move by @Wauplin in #2433
Correct "login" to "log in" when used as verb by @DePasqualeOrg in #2434
Typo for plural by @david4096 in #2439
fix typo in file download warning message about symlinks by @joetam in #2442
Fix typo double assignment by @Wauplin in #2443
[webhooks server] rely on SPACE_ID to check if app is local or in a Sapce by @Wauplin in #2450
Fix error message on permission issue by @Wauplin in #2465
Fix: do not erase existi...