SLLHF

sllhf's activity

• All
• Models
• Datasets
• Spaces
• Papers
• Collections
• Community
• Posts
• Articles

danieldk 

posted an update 26 days ago

view post

Post

450

We have released kernel-builder 0.7.0: https://github.com/huggingface/kernel-builder/releases/tag/v0.7.0

Headline features:

* 🔮 Supports building kernels for the brand-new PyTorch 2.9.0.
* 🪟 Experimental support for building Windows kernels.

See translation

🔥

1

1

🤗

1

1

+

Reply

hfkwr 

authored a paper about 1 month ago

Understanding Reinforcement Learning for Model Training, and future directions with GRAPE

Paper • 2509.04501 • Published Sep 2 • 1

lysandre 

posted an update about 2 months ago

view post

Post

6554

We're kick-starting the process of Transformers v5, with @ArthurZ and @cyrilvallez !

v5 should be significant: we're using it as a milestone for performance optimizations, saner defaults, and a much cleaner code base worthy of 2025.

Fun fact: v4.0.0-rc-1 came out on Nov 19, 2020, nearly five years ago!

See translation

• 

• 
• 
• 6 replies

·

🚀

17

17

👍

9

9

🔥

6

6

+

Reply

ankits0052 

authored a paper 3 months ago

MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

Paper • 2508.20453 • Published Aug 28 • 63

ankits0052 

authored 14 papers 4 months ago

LoFT: Local Proxy Fine-tuning For Improving Transferability Of Adversarial Attacks Against Large Language Model

Paper • 2310.04445 • Published Oct 2, 2023

Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks

Paper • 2309.17002 • Published Sep 29, 2023 • 1

Exploring Domain-Specific Enhancements for a Neural Foley Synthesizer

Paper • 2309.04641 • Published Sep 8, 2023 • 1

Conformers are All You Need for Visual Speech Recogntion

Paper • 2302.10915 • Published Feb 17, 2023

Improving Data Efficiency via Curating LLM-Driven Rating Systems

Paper • 2410.10877 • Published Oct 9, 2024

LLM Unlearning via Loss Adjustment with Only Forget Data

Paper • 2410.11143 • Published Oct 14, 2024

Enhancing Retrieval for ESGLLM via ESG-CID -- A Disclosure Content Index Finetuning Dataset for Mapping GRI and ESRS

Paper • 2503.10674 • Published Mar 10 • 1

Deciphering GunType Hierarchy through Acoustic Analysis of Gunshot Recordings

Paper • 2506.20609 • Published Jun 25

ProRefine: Inference-time Prompt Refinement with Textual Feedback

Paper • 2506.05305 • Published Jun 5 • 1

Did You Hear That? Introducing AADG: A Framework for Generating Benchmark Data in Audio Anomaly Detection

Paper • 2410.03904 • Published Oct 4, 2024

Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond

Paper • 2408.11338 • Published Aug 21, 2024

Harnessing Business and Media Insights with Large Language Models

Paper • 2406.06559 • Published Jun 2, 2024

Audio-visual fine-tuning of audio-only ASR models

Paper • 2312.09369 • Published Dec 14, 2023

Psychoacoustic Challenges Of Speech Enhancement On VoIP Platforms

Paper • 2310.07161 • Published Oct 11, 2023 • 1

Wauplin 

posted an update 4 months ago

view post

Post

3182

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

See translation

• 

🔥

15

15

🤗

6

6

🤝

2

2

❤️

1

1

👍

1

1

+

Reply

danieldk 

posted an update 4 months ago

view post

Post

2050

kernels 0.8.0 is out: https://github.com/huggingface/kernels/releases/tag/v0.8.0

This release refines kernel selection in the kernelize function:

• You can now register kernels for certain CUDA capability ranges.
• Rather than doing exact mating of modes, fall back to other compatible modes. If you are kernelizing for inference, but you only registered a training + torch.compile kernel, it will use that kernel since it is compatible with inference as well.

See translation

• 
• 1 reply

·

🤗

2

2

🚀

1

1

+

Reply