pagezyhf (Simon Pagezy)

reacted to sergiopaniego's post with 🔥 about 16 hours ago

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Sharing the slides from yesterday's talk about "Fine Tuning with TRL" from the @TogetherAgent x @huggingface workshop we hosted in our Paris office 🎃!

Link: https://github.com/sergiopaniego/talks/blob/main/fine_tuning_with_trl/Fine%20tuning%20with%20TRL%20(Oct%2025).pdf

replied to their post 1 day ago

https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/announcing-qwen3-vl-family-of-models-on-azure-ai-foundry/4464830

posted an update 1 day ago

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🚀 Big news for AI builders!

We’re thrilled to announce that the Qwen3-VL family of vision-language models is now available on Azure AI Foundry, thanks to our collaboration with Microsoft.

We bring open-source innovation to enterprise-grade AI infrastructure, making it easier than ever for enterprise to deploy and scale the latest and greatest from models from hugging Face securely within Azure.

🔍 Highlights:

- Deploy Qwen3-VL instantly via managed endpoints
- Built-in governance, telemetry, and lifecycle management
- True multimodal reasoning — vision, language, and code understanding
- State-of-the-art performance, outperforming closed-source models like Gemini 2.5 Pro and GPT-5
- Available in both *Instruct* and *Thinking* modes, across 24 model sizes

👉 Get started today: search for Qwen3-VL in the Hugging Face Collection on Azure AI Foundry.

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reacted to sourceoftruthdata's post with ❤️ 1 day ago

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What a fantastic community!

replied to their post about 1 month ago

Thanks for your answer @nroggendorff !
yeah indeed I think we try to cover the 1 repo = 1 arch use case mostly.
By curiosity, why don't you create multiple repos?

reacted to tsungyi's post with 🔥 about 1 month ago

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We’re excited to share that Cosmos Reason has surpassed 1 million downloads on Hugging Face!

Cosmos Reason is an open, customizable, commercial-ready 7B-parameter reasoning vision language model (VLM) designed for physical AI. By combining physics understanding, prior knowledge, and common sense reasoning, Cosmos Reason empowers AI agents and robots to operate intelligently in real-world environments.

Key applications already unlocked include:

✅ Automating large-scale dataset curation and annotation

🤖 Powering robot planning and vision-language action (VLA) decision-making

📊 Driving advanced video analytics and actionable insight generation

We’re proud to see a global community of developers using Cosmos Reason to teach robots to think like humans—and we’re just getting started.

⚡ Get started with Cosmos Reason 1 NIM, an easy-to-use microservice for AI model deployment: https://catalog.ngc.nvidia.com/orgs/nim/teams/nvidia/containers/cosmos-reason1-7b?version=1

📈 See the leaderboard: facebook/physical_reasoning_leaderboard

replied to nroggendorff's post about 1 month ago

Good catch, thanks for reporting!

posted an update about 1 month ago

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What’s your biggest headache deploying Hugging Face models to the cloud—and how can we fix it for you?

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posted an update about 2 months ago

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Qwen3 Next models are available in Azure AI Foundry 🚀

Qwen/qwen3-next-68c25fd6838e585db8eeea9d

replied to their post about 2 months ago

https://huggingface.co/spaces/transformers-community/transformers-ci-dashboard

posted an update about 2 months ago

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🤝 Collaborating with AMD to ensure Hugging Face Transformers runs smoothly on AMD GPUs!

We run daily CI on AMD MI325 to track the health of the most important model architectures and we’ve just made our internal dashboard public.

By making this easily accessible, we hope to spark community contributions and improve support for everyone!

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reacted to jeffboudier's post with 🔥 about 2 months ago

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Quick 30s demo of the new Hub > Azure AI integration to deploy HF models in your own Azure account. Now with Py and CLI!

GG @alvarobartt @kramp @pagezyhf

posted an update 2 months ago

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We've improved the Deploy button on Hugging Face model pages for Microsoft Azure

1/ no more long waits before seeing model support status

2/ ready-to-use CLI and Python snippets

3/ redirection to Azure AI Foundry rather than Azure ML

✋ if you see any bugs or have feedback, open an issue on our repo:
https://github.com/huggingface/Microsoft-Azure

reacted to clem's post with ❤️ 3 months ago

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Thread to gossip during the

openai GPT-5 livestream: https://www.youtube.com/watch?v=0Uu_VJeVVfo. Feel free to post your impressions below!

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posted an update 3 months ago

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Deploy GPT OSS models with Hugging Face on Azure AI!

We’re thrilled to enable OpenAI GPT OSS models on Azure AI Model Catalog for Azure users to try the model securely the day of its release.

In our official launch blogpost, there’s a section on how to deploy the model to your Azure AI Hub. Get started today!

https://huggingface.co/blog/welcome-openai-gpt-oss#azure

posted an update 3 months ago

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We now have the newest Open AI models available on the Dell Enterprise Hub!

We built the Dell Enterprise Hub to provide access to the latest and greatest model from the Hugging Face community to our on-prem customers. We’re happy to give secure access to this amazing contribution from Open AI on the day of its launch!

/static-proxy?url=https%3A%2F%2Fdell.huggingface.co%2F%3C%2Fa%3E

posted an update 3 months ago

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🟪 Qwen/Qwen3‑235B‑A22B‑Instruct‑2507‑FP8 is now available in Microsoft Azure for one‑click deployment! 🚀

Check out their blogpost: https://qwenlm.github.io/blog/qwen3/

You can now find it in the Hugging Face Collection in Azure ML or Azure AI Foundry, along with 10k other Hugging Face models 🤗🤗
Qwen/Qwen3-235B-A22B-Instruct-2507-FP8

Bear with us for the non‑quantized version.

posted an update 4 months ago

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In our recent push to make more models available on Azure, we recently added SmolLM v3 in the catalog! 🚀

@juanjucm wrote a really detailed guide on how to deploy on Azure AI 🤗

https://huggingface.co/docs/microsoft-azure/azure-ai/examples/deploy-smollm3

If you want to see other models, please let us know

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reacted to erikkaum's post with 🤗 4 months ago

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We just released native support for @SGLang and @vllm-project in Inference Endpoints 🔥

Inference Endpoints is becoming the central place where you deploy high performance Inference Engines.

And that provides the managed infra for it. Instead of spending weeks configuring infrastructure, managing servers, and debugging deployment issues, you can focus on what matters most: your AI model and your users 🙌

posted an update 4 months ago

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🎉 New in Azure Model Catalog: NVIDIA Parakeet TDT 0.6B V2

We're excited to welcome Parakeet TDT 0.6B V2—a state-of-the-art English speech-to-text model—to the Azure Foundry Model Catalog.

What is it?

A powerful ASR model built on the FastConformer-TDT architecture, offering:
🕒 Word-level timestamps
✍️ Automatic punctuation & capitalization
🔊 Strong performance across noisy and real-world audio

It runs with NeMo, NVIDIA’s optimized inference engine.

Want to give it a try? 🎧 You can test it with your own audio (up to 3 hours) on Hugging Face Spaces before deploying.If it fits your need, deploy easily from the Hugging Face Hub or Azure ML Studio with secure, scalable infrastructure!

📘 Learn more by following this guide written by @alvarobartt

https://huggingface.co/docs/microsoft-azure/azure-ai/examples/deploy-nvidia-parakeet-asr

Simon Pagezy

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Simon Pagezy

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