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github.com/lewtun?tab=repositories

lewtun - Repositories - GitHub

Cowboy post-training @ Hugging Face. lewtun has 93 repositories available. Follow their code on GitHub.

huggingface.co/support

Expert Support – Hugging Face

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

www.zhihu.com/tardis/bd/art/692929631

Hugging Face 新人使用指南

Apr 16, 2024 · Hugging Face Spaces 是什么? Hugging Face Spaces 是 Hugging Face Hub 上提供的一项服务,它提供了一个易于使用的 GUI,用于构建和部署 Web 托管的 ML 演示及应用。 该服务使得 …

www.zhihu.com/pin/1932186071048890006

Hugging Face 的想法: Trending Papers 上线 | 昨天 ... - 知乎

Jul 29, 2025 · 今天,它的精神在 Hugging Face 延续并升级! 我们与 Meta AI、Papers with Code 原班团队联合打造的 Hugging Face Trending Papers,今天正式接班上线 Daily Papers 版块? 小伙伴们再 …

www.zhihu.com/org/huggingface

Hugging Face - 知乎

Feb 20, 2026 · ggml.ai 正式加入 Hugging Face! ? 重磅消息:ggml.ai 正式加入 Hugging Face! 很多人也许听过 llama.cpp,却未必了解背后的 ggml。 简单讲清楚? ? ggml 是什么? 一套专为高效推理设计 …

www.reddit.com/r/StableDiffusion/comments/1qohra7/here_it_is_boys_z_base

Here it is boys, Z Base

Link: [https://huggingface.co/Tongyi-MAI/Z-Image](https://huggingface.co/Tongyi-MAI/Z-Image) Comfy [https://huggingface.co/Comfy-Org/z\_image/tree/main/split\_files/diffusion\_models](https://hug...

www.reddit.com/r/MachineLearning/comments/x2b6r2/p_evaluate_65000_models_across_10000_datasets_on

[P] Evaluate 65,000 models across 10,000 datasets on the Hugging Face Hub!

Hi there, it's Lewis from the open-source team at Hugging Face ? I'm heaps stoked to share a project we've been working on to enable large-scale evaluation of over 65k models on the Hugging Face H...

www.reddit.com/r/AI_India/comments/1kxedyp/mcp_agent_hackathon_alert

MCP & Agent Hackathon Alert

Gradio (owned by huggingface) is conducting this hackathon. Sponsored by [@huggingface](https://x.com/huggingface), [@AnthropicAI](https://x.com/AnthropicAI), [@SambaNovaAI](https://x.com/SambaNovaAI...

github.com/huggingface/knockknock

huggingface/knockknock

?✊Knock Knock: Get notified when your training ends with only two additional lines of code (⭐ 2826)

www.zhihu.com/question/439384030

Hugging Face 是靠什么赚钱的? - 知乎

我相信,语音领域会有更多新突破,为我们解锁新的应用场景,建议多多关注这个领域。 4、Hugging Face流行的背后 Lukas:在你看来,是什么促成了Hugging Face的成功? Clément: 回头看看那些 …

www.reddit.com/r/LocalLLaMA/comments/1qzlndr/voxtral_mini_4b_realtime_running_in_the_browser

Voxtral Mini 4B Realtime running in the browser

Hello! Earlier this week Mistral released: [https://huggingface.co/mistralai/Voxtral-Mini-4B-Realtime-2602](https://huggingface.co/mistralai/Voxtral-Mini-4B-Realtime-2602) Last time I ported a TTS m...

github.com/huggingface/pytorch-image-models

huggingface/pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT,…

www.oneclickitsolution.com/centerofexcellence/aiml/guide-for-running-qwen-2-5-locally-using-hugging-face

Install Qwen-2.5 Locally Using Hugging Face: Step-by-Step Guide

Learn how to install the Qwen-2.5 model on your local server using Hugging Face. Follow this step-by-step guide for a seamless setup, including prerequisites and installation tips.

www.reddit.com/r/MachineLearning/comments/teu7dn/announcement_huggingface_bigscience_ama_thursday

[Announcement] HuggingFace BigScience AMA Thursday, March 24th from 5pm CET

We'd love to answer your questions on the [BigScience language model](https://bigscience.huggingface.co/blog/what-language-model-to-train-if-you-have-two-million-gpu-hours), [data](https://bigscience....

github.com/huggingface/tokenizers

huggingface/tokenizers

? Fast State-of-the-Art Tokenizers optimized for Research and Production (⭐ 10507)

github.com/huggingface/alignment-handbook

huggingface/alignment-handbook

Robust recipes to align language models with human and AI preferences (⭐ 5519)

github.com/huggingface/optimum

huggingface/optimum

? Accelerate inference and training of ? Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools (⭐ 3309)

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