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alvarobartt  updated a collection 15 days ago
100,000 FineWiki Embeddings with EmbeddingGemma
alvarobartt  updated a collection 15 days ago
100,000 FineWiki Embeddings with EmbeddingGemma
alvarobartt  updated a collection 15 days ago
100,000 FineWiki Embeddings with EmbeddingGemma
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alvarobartt 
posted an update 8 days ago
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3221
Learn how to deploy Microsoft Research VibeVoice ASR on Microsoft Azure Foundry with Hugging Face to generate rich audio transcriptions with Who, When, and What! 💥

> 🕒 60-minute single-pass processing, no chunking or stitching
> 👤 Customized hotwords to guide recognition on domain-specific content
> 📝 Rich transcription: joint ASR + diarization + timestamping in one pass
> 🌍 50+ languages with automatic detection and code-switching support
> 🤗 Deployed on Microsoft Foundry via an OpenAI-compatible Chat Completions API

https://huggingface.co/docs/microsoft-azure/foundry/examples/deploy-vibevoice-asr
alvarobartt 
updated a collection 15 days ago
alvarobartt 
updated a dataset 21 days ago
alvarobartt 
published a dataset 21 days ago
alvarobartt 
updated a dataset 21 days ago
alvarobartt 
published a dataset 23 days ago
alvarobartt 
updated a dataset 25 days ago
alvarobartt 
published a dataset 25 days ago
alvarobartt 
updated a dataset 25 days ago
alvarobartt 
published a dataset 25 days ago
alvarobartt 
posted an update about 1 month ago
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3140
💥 hf-mem v0.4.1 now also estimates KV cache memory requirements for any context length and batch size with the --experimental flag!

uvx hf-mem --model-id ... --experimental will automatically pull the required information from the Hugging Face Hub to include the KV cache estimation, when applicable.

💡 Alternatively, you can also set the --max-model-len, --batch-size and --kv-cache-dtype arguments (à la vLLM) manually if preferred.
  • 1 reply
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pagezyhf 
posted an update 4 months ago
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2923
🚀 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.
  • 1 reply
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osanseviero 
authored a paper 6 months ago
pagezyhf 
posted an update 6 months ago
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861
What’s your biggest headache deploying Hugging Face models to the cloud—and how can we fix it for you?
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pagezyhf 
posted an update 6 months ago
pagezyhf 
posted an update 6 months ago
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3933
🤝 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!
  • 2 replies
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jeffboudier 
posted an update 7 months ago
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3218
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