content.raw: ‼️ huggingface_hub's v0.30.0 is out with our biggest update of the past two years!
content.type: text
content.value: ‼️ huggingface_hub's v0.30.0 is out with our biggest update of the past two years!
content.type: new_line
content.type: new_line
content.raw: Full release notes: 
content.type: text
content.value: Full release notes: 
content.href: https://github.com/huggingface/huggingface_hub/releases/tag/v0.30.0
content.raw: https://github.com/huggingface/huggingface_hub/releases/tag/v0.30.0
content.type: link
content.raw: .
content.type: text
content.value: .
content.type: new_line
content.type: new_line
content.raw: 🚀 Ready. Xet. Go! 
content.type: text
content.value: 🚀 Ready. Xet. Go! 
content.type: new_line
content.type: new_line
content.raw: Xet is a groundbreaking new protocol for storing large objects in Git repositories, designed to replace Git LFS. Unlike LFS, which deduplicates files, Xet operates at the chunk level—making it a game-changer for AI builders collaborating on massive models and datasets.   Our Python integration is powered by [xet-core](
content.type: text
content.value: Xet is a groundbreaking new protocol for storing large objects in Git repositories, designed to replace Git LFS. Unlike LFS, which deduplicates files, Xet operates at the chunk level—making it a game-changer for AI builders collaborating on massive models and datasets.   Our Python integration is powered by [xet-core](
content.href: https://github.com/huggingface/xet-core
content.raw: https://github.com/huggingface/xet-core
content.type: link
content.raw: ), a Rust-based package that handles all the low-level details.  
content.type: text
content.value: ), a Rust-based package that handles all the low-level details.  
content.type: new_line
content.type: new_line
content.raw: You can start using Xet today by installing the optional dependency:
content.type: text
content.value: You can start using Xet today by installing the optional dependency:
content.type: new_line
content.type: new_line
content.code: pip install -U huggingface_hub[hf_xet]
content.lang: bash
content.raw: ```bash
  pip install -U huggingface_hub[hf_xet]
  ```
content.type: code_fence
content.type: new_line
content.type: new_line
content.raw: With that, you can seamlessly download files from Xet-enabled repositories! And don’t worry—everything remains fully backward-compatible if you’re not ready to upgrade yet.
content.type: text
content.value: With that, you can seamlessly download files from Xet-enabled repositories! And don’t worry—everything remains fully backward-compatible if you’re not ready to upgrade yet.
content.type: new_line
content.type: new_line
content.raw: Blog post: 
content.type: text
content.value: Blog post: 
content.href: https://huggingface.co/blog/xet-on-the-hub
content.raw: https://huggingface.co/blog/xet-on-the-hub
content.type: link
content.type: new_line
content.raw: Docs: 
content.type: text
content.value: Docs: 
content.href: https://huggingface.co/docs/hub/en/storage-backends#xet
content.raw: https://huggingface.co/docs/hub/en/storage-backends#xet
content.type: link
content.type: new_line
content.type: new_line
content.type: new_line
content.raw: ⚡ Inference Providers
content.type: text
content.value: ⚡ Inference Providers
content.type: new_line
content.type: new_line
content.raw: - We’re thrilled to introduce Cerebras and Cohere as official inference providers! This expansion strengthens the Hub as the go-to entry point for running inference on open-weight models.
content.type: text
content.value: - We’re thrilled to introduce Cerebras and Cohere as official inference providers! This expansion strengthens the Hub as the go-to entry point for running inference on open-weight models.
content.type: new_line
content.type: new_line
content.raw: - Novita is now our 3rd provider to support text-to-video task after Fal.ai and Replicate.
content.type: text
content.value: - Novita is now our 3rd provider to support text-to-video task after Fal.ai and Replicate.
content.type: new_line
content.type: new_line
content.raw: - Centralized billing: manage your budget and set team-wide spending limits for Inference Providers! Available to all Enterprise Hub organizations.
content.type: text
content.value: - Centralized billing: manage your budget and set team-wide spending limits for Inference Providers! Available to all Enterprise Hub organizations.
content.type: new_line
content.type: new_line
content.code: from huggingface_hub import InferenceClient
  client = InferenceClient(provider="fal-ai", bill_to="my-cool-company")
  image = client.text_to_image(
      "A majestic lion in a fantasy forest",
      model="black-forest-labs/FLUX.1-schnell",
  )
  image.save("lion.png")
content.lang: py
content.raw: ```py
  from huggingface_hub import InferenceClient
  client = InferenceClient(provider="fal-ai", bill_to="my-cool-company")
  image = client.text_to_image(
      "A majestic lion in a fantasy forest",
      model="black-forest-labs/FLUX.1-schnell",
  )
  image.save("lion.png")
  ```
content.type: code_fence
content.type: new_line
content.type: new_line
content.raw: - No more timeouts when generating videos, thanks to async calls. Available right now for Fal.ai, expecting more providers to leverage the same structure very soon!
content.type: text
content.value: - No more timeouts when generating videos, thanks to async calls. Available right now for Fal.ai, expecting more providers to leverage the same structure very soon!
rawContent: ‼️ huggingface_hub's v0.30.0 is out with our biggest update of the past two years!
  
  Full release notes: https://github.com/huggingface/huggingface_hub/releases/tag/v0.30.0.
  
  🚀 Ready. Xet. Go! 
  
  Xet is a groundbreaking new protocol for storing large objects in Git repositories, designed to replace Git LFS. Unlike LFS, which deduplicates files, Xet operates at the chunk level—making it a game-changer for AI builders collaborating on massive models and datasets.   Our Python integration is powered by [xet-core](https://github.com/huggingface/xet-core), a Rust-based package that handles all the low-level details.  
  
  You can start using Xet today by installing the optional dependency:
  
  ```bash
  pip install -U huggingface_hub[hf_xet]
  ```
  
  With that, you can seamlessly download files from Xet-enabled repositories! And don’t worry—everything remains fully backward-compatible if you’re not ready to upgrade yet.
  
  Blog post: https://huggingface.co/blog/xet-on-the-hub
  Docs: https://huggingface.co/docs/hub/en/storage-backends#xet
  
  
  ⚡ Inference Providers
  
  - We’re thrilled to introduce Cerebras and Cohere as official inference providers! This expansion strengthens the Hub as the go-to entry point for running inference on open-weight models.
  
  - Novita is now our 3rd provider to support text-to-video task after Fal.ai and Replicate.
  
  - Centralized billing: manage your budget and set team-wide spending limits for Inference Providers! Available to all Enterprise Hub organizations.
  
  ```py
  from huggingface_hub import InferenceClient
  client = InferenceClient(provider="fal-ai", bill_to="my-cool-company")
  image = client.text_to_image(
      "A majestic lion in a fantasy forest",
      model="black-forest-labs/FLUX.1-schnell",
  )
  image.save("lion.png")
  ```
  
  - No more timeouts when generating videos, thanks to async calls. Available right now for Fal.ai, expecting more providers to leverage the same structure very soon!
reactions.reaction: 🤗
reactions.users: eaddario John6666 jsulz victor lbourdois Anas-Mohiuddin-Syed Takugen dantezxcd on3dj marcsun13
reactions.reaction: 🚀
reactions.users: John6666 jsulz lbourdois dantezxcd Vlkiss
reactions.reaction: 🔥
reactions.users: jsulz Sortan lbourdois dantezxcd
commentators._id: 636bb1c37631fe5e86ff0544
commentators.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/636bb1c37631fe5e86ff0544/JJqWKyzfLlrnDaXxz6qNq.jpeg
commentators.fullname: Taylor Hebert
commentators.name: ParahumanSkitter
commentators.type: user
commentators._id: 6273f303f6d63a28483fde12
commentators.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/1659336880158-6273f303f6d63a28483fde12.png
commentators.fullname: Lucain Pouget
commentators.name: Wauplin
commentators.type: user
commentators._id: 65d50e9ef9cbfa798c590004
commentators.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/65d50e9ef9cbfa798c590004/FlVe8chafigMfrPpMeJRL.jpeg
commentators.fullname: Jared Sulzdorf
commentators.name: jsulz
commentators.type: user