chore(deps)(deps): bump huggingface-hub from 0.16.4 to 1.1.4 in /scraper

[dependabot]

Bumps huggingface-hub from 0.16.4 to 1.1.4.

Release notes

Sourced from huggingface-hub's releases.

[v1.1.4] Paginated results in list_user_access

• Paginated results in list_user_access by @​Wauplin in huggingface/huggingface_hub#3535 ⚠️ This patch release is a breaking chance but necessary to reflect API update made server-side.

Full Changelog: huggingface/huggingface_hub@v1.1.3...v1.1.4

[v1.1.3] Avoid HTTP 429 on downloads + fix missing arguments in download API

• Make 'name' optional in catalog deploy by @​Wauplin in huggingface/huggingface_hub#3529
• Pass through additional arguments from HfApi download utils by @​schmrlng in huggingface/huggingface_hub#3531
• Avoid redundant call to the Xet connection info URL by @​Wauplin in huggingface/huggingface_hub#3534
  • => this PR fixes HTTP 429 rate limit issues happening when downloading a very large dataset of small files

Full Changelog: huggingface/huggingface_hub@v1.1.0...v1.1.3

v1.1.0: Faster Downloads, new CLI features and more!

🚀 Optimized Download Experience

⚡ This release significantly improves the file download experience by making it faster and cleaning up the terminal output.

snapshot_download is now always multi-threaded, leading to significant performance gains. We removed a previous limitation, as Xet's internal resource management ensures we can parallelize downloads safely without resource contention. A sample benchmark showed this made the download much faster!

Additionally, the output for snapshot_download and hf download CLI is now much less verbose. Per file logs are hidden by default, and all individual progress bars are combined into a single progress bar, resulting in a much cleaner output.

• Multi-threaded snapshot download by @​Wauplin in #3522
• Compact output in snapshot_download and hf download by @​Wauplin in #3523

Inference Providers

🆕 WaveSpeedAI is now an official Inference Provider on Hugging Face! 🎉 WaveSpeedAI provides fast, scalable, and cost-effective model serving for creative AI applications, supporting text-to-image, image-to-image, text-to-video, and image-to-video tasks. 🎨

import os
from huggingface_hub import InferenceClient
client = InferenceClient(
provider="wavespeed",
api_key=os.environ["HF_TOKEN"],
)
video = client.text_to_video(
"A cat riding a bike",
model="Wan-AI/Wan2.2-TI2V-5B",
)

... (truncated)

Commits

• c899264 Release: v1.1.4
• eeb0e73 Paginated results in list_user_access (#3535)
• 5b7f672 Release: v1.1.3
• e1162cd Avoid redundant call to the Xet connection info URL (#3534)
• 4f94171 Pass through additional arguments from HfApi download utils (#3531)
• 31bccf5 Release: v1.1.2
• 2537343 Make 'name' optional in catalog deploy (#3529)
• b46a343 Release: v1.1.1
• 79db09a Release: v1.1.0
• bd6ee62 Release: v1.1.0.rc2
• Additional commits viewable in compare view

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