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MolbapΒ 
posted an update 18 days ago
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πŸš€ New blog: Maintain the unmaintainable – 1M+ Python LOC, 400+ models

How do you stop a million-line library built by thousands of contributors from collapsing under its own weight?
At πŸ€— Transformers, we do it with explicit software-engineering tenets, principles that make the codebase hackable at scale.

πŸ” Inside the post:
– One Model, One File: readability first β€” you can still open a modeling file and see the full logic, top to bottom.
– Modular Transformers: visible inheritance that cuts maintenance cost by ~15Γ— while keeping models readable.
– Config-Driven Performance: FlashAttention, tensor parallelism, and attention scheduling are config-level features, not rewrites.

Written with @lysandre ,@pcuenq and @yonigozlan , this is a deep dive into how Transformers stays fast, open, and maintainable.

Read it here β†’ transformers-community/Transformers-tenets
clemΒ 
posted an update 3 months ago
hlarcherΒ 
posted an update 3 months ago
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GH200 cooking time πŸ§‘β€πŸ³πŸ”₯!

We just updated GPU-fryer 🍳 to run on Grace Hopper Superchip (GH200) - fully optimized for ARM-based systems!
With this release, we switched to cuBLASLt to support running FP8 benchmarks. You can monitor GPU throttling, TFLOPS outliers, HBM memory health, and ensure that you get the most of your hardware setup.
Perfect for stress testing and tuning datacenter GPUs.

Check it out on Github πŸ‘‰ https://github.com/huggingface/gpu-fryer
WauplinΒ 
posted an update 3 months ago
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Say hello to hf: a faster, friendlier Hugging Face CLI ✨

We are glad to announce a long-awaited quality-of-life improvement: the Hugging Face CLI has been officially renamed from huggingface-cli to hf!

So... why this change?

Typing huggingface-cli constantly gets old fast. More importantly, the CLI’s command structure became messy as new features were added over time (upload, download, cache management, repo management, etc.). Renaming the CLI is a chance to reorganize commands into a clearer, more consistent format.

We decided not to reinvent the wheel and instead follow a well-known CLI pattern: hf <resource> <action>. Isn't hf auth login easier to type and remember?

The full rationale, implementation details, and migration notes are in the blog post: https://huggingface.co/blog/hf-cli

clemΒ 
posted an update 4 months ago
clemΒ 
posted an update 5 months ago
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Today, we're unveiling two new open-source AI robots! HopeJR for $3,000 & Reachy Mini for $300 πŸ€–πŸ€–πŸ€–

Let's go open-source AI robotics!
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clemΒ 
posted an update 5 months ago
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It's just become easier to share your apps on the biggest AI app store (aka HF spaces) for unlimited storage, more visibility and community interactions.

Just pick a React, Svelte, or Vue template when you create your space or add app_build_command: npm run build in your README's YAML and app_file: build/index.html in your README's YAML block.

Or follow this link: https://huggingface.co/new-space?sdk=static

Let's build!
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clemΒ 
posted an update 5 months ago
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Playing with Veo3 this morning. Share your prompt if you want me to create videos for you (bonus point if they funnily reference HF/open-source). These videos are "a cat on the moon rapping "I love Hugging Face""!
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clefourrierΒ 
posted an update 5 months ago
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Always surprised that so few people actually read the FineTasks blog, on
✨how to select training evals with the highest signal✨

If you're serious about training models without wasting compute on shitty runs, you absolutely should read it!!

An high signal eval actually tells you precisely, during training, how wel & what your model is learning, allowing you to discard the bad runs/bad samplings/...!

The blog covers in depth prompt choice, metrics, dataset, across languages/capabilities, and my fave section is "which properties should evals have"πŸ‘Œ
(to know on your use case how to select the best evals for you)

Blog: HuggingFaceFW/blogpost-fine-tasks
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loubnabnlΒ 
posted an update 5 months ago
clemΒ 
posted an update 5 months ago
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Very cool to see pytorch contributing on Hugging Face. Time to follow them to see what they're cooking!
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