amazon-sagemaker/repository-metadata
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Add 42 model(s) from daily sync (2026-02-16)
#42 opened about 10 hours ago
by
pagezyhf
Add 42 model(s) from daily sync (2026-02-15)
#41 opened 1 day ago
by
pagezyhf
Add 37 model(s) from daily sync (2026-02-14)
#40 opened 2 days ago
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pagezyhf
Add 35 model(s) from daily sync (2026-02-13)
#39 opened 3 days ago
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pagezyhf
Add 33 model(s) from daily sync (2026-02-12)
#38 opened 4 days ago
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pagezyhf
Add 28 model(s) from daily sync (2026-02-11)
#37 opened 5 days ago
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pagezyhf
Add 28 model(s) from daily sync (2026-02-10)
#36 opened 6 days ago
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pagezyhf
Add 23 model(s) from daily sync (2026-02-09)
#35 opened 7 days ago
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pagezyhf
Add 17 model(s) from daily sync (2026-02-08)
#34 opened 8 days ago
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pagezyhf
Add 12 model(s) from daily sync (2026-02-07)
#33 opened 9 days ago
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pagezyhf
Add 9 model(s) from daily sync (2026-02-06)
#32 opened 10 days ago
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pagezyhf
Add 4 model(s) from daily sync (2026-02-05)
#31 opened 11 days ago
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pagezyhf
Add 167 model(s) from daily sync (2026-02-04)
#30 opened 12 days ago
by
pagezyhf
pagezyhf
updated
a
dataset
4 months ago
Post
2907
🚀 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.
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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- 1 reply
florentgbelidji
updated
a
dataset
5 months ago
Post
860
What’s your biggest headache deploying Hugging Face models to the cloud—and how can we fix it for you?
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- 8 replies
Post
499
Post
3925
🤝 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!
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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- 2 replies
jeffboudier
posted
an
update
6 months ago
Post
3179
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
GG @alvarobartt @kramp @pagezyhf