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pagezyhfย  updated a dataset 17 days ago
amazon-sagemaker/repository-metadata
pagezyhfย  updated a dataset about 2 months ago
amazon-sagemaker/repository-metadata
florentgbelidjiย  updated a dataset 3 months ago
amazon-sagemaker/repository-metadata
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pagezyhfย 
posted an update 2 days ago
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1769
If you haven't had the chance to test the latest open model from Meta, Llama 4 Maverick, go try it on AMD MI 300 on Hugging Face!

amd/llama4-maverick-17b-128e-mi-amd
pagezyhfย 
updated a dataset 17 days ago
jeffboudierย 
posted an update 19 days ago
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2143
Llama4 is out and Scout is already on the Dell Enterprise Hub to deploy on Dell systems ๐Ÿ‘‰ dell.huggingface.co
jeffboudierย 
posted an update 21 days ago
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Enterprise orgs now enable serverless Inference Providers for all members
- includes $2 free usage per org member (e.g. an Enterprise org with 1,000 members share $2,000 free credit each month)
- admins can set a monthly spend limit for the entire org
- works today with Together, fal, Novita, Cerebras and HF Inference.

Here's the doc to bill Inference Providers usage to your org: https://huggingface.co/docs/inference-providers/pricing#organization-billing
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florentgbelidjiย 
updated a dataset 3 months ago
pagezyhfย 
posted an update 3 months ago
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1746
We published https://huggingface.co/blog/deepseek-r1-aws!

If you are using AWS, give a read. It is a running document to showcase how to deploy and fine-tune DeepSeek R1 models with Hugging Face on AWS.

We're working hard to enable all the scenarios, whether you want to deploy to Inference Endpoints, Sagemaker or EC2; with GPUs or with Trainium & Inferentia.

We have full support for the distilled models, DeepSeek-R1 support is coming soon!! I'll keep you posted.

Cheers
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philschmidย 
in amazon-sagemaker/repository-metadata 3 months ago

Update modal.json
#29 opened 3 months ago by
pagezyhf
florentgbelidjiย 
posted an update 3 months ago
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1588
๐—ฃ๐—น๐—ฎ๐—ป๐—ป๐—ถ๐—ป๐—ด ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ก๐—ฒ๐˜…๐˜ ๐—ฆ๐—ธ๐—ถ ๐—”๐—ฑ๐˜ƒ๐—ฒ๐—ป๐˜๐˜‚๐—ฟ๐—ฒ ๐—๐˜‚๐˜€๐˜ ๐—š๐—ผ๐˜ ๐—ฆ๐—บ๐—ฎ๐—ฟ๐˜๐—ฒ๐—ฟ: ๐—œ๐—ป๐˜๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐—ถ๐—ป๐—ด ๐—”๐—น๐—ฝ๐—ถ๐—ป๐—ฒ ๐—”๐—ด๐—ฒ๐—ป๐˜!๐Ÿ”๏ธโ›ท๏ธ

With the big hype around AI agents these days, I couldnโ€™t stop thinking about how AI agents could truly enhance real-world activities.
What sort of applications could we build with those AI agents: agentic RAG? self-correcting text-to-sql? Nah, boringโ€ฆ

Passionate about outdoors, Iโ€™ve always dreamed of a tool that could simplify planning mountain trips while accounting for all potential risks. Thatโ€™s why I built ๐—”๐—น๐—ฝ๐—ถ๐—ป๐—ฒ ๐—”๐—ด๐—ฒ๐—ป๐˜, a smart assistant designed to help you plan safe and enjoyable itineraries in the French Alps and Pyrenees.

Built using Hugging Face's ๐˜€๐—บ๐—ผ๐—น๐—ฎ๐—ด๐—ฒ๐—ป๐˜๐˜€ library, Alpine Agent combines the power of AI with trusted resources like ๐˜š๐˜ฌ๐˜ช๐˜ต๐˜ฐ๐˜ถ๐˜ณ.๐˜ง๐˜ณ (https://skitour.fr/) and METEO FRANCE. Whether itโ€™s suggesting a route with moderate difficulty or analyzing avalanche risks and weather conditions, this agent dynamically integrates data to deliver personalized recommendations.

In my latest blog post, I share how I developed this projectโ€”from defining tools and integrating APIs to selecting the best LLMs like ๐˜˜๐˜ธ๐˜ฆ๐˜ฏ2.5-๐˜Š๐˜ฐ๐˜ฅ๐˜ฆ๐˜ณ-32๐˜‰-๐˜๐˜ฏ๐˜ด๐˜ต๐˜ณ๐˜ถ๐˜ค๐˜ต, ๐˜“๐˜ญ๐˜ข๐˜ฎ๐˜ข-3.3-70๐˜‰-๐˜๐˜ฏ๐˜ด๐˜ต๐˜ณ๐˜ถ๐˜ค๐˜ต, or ๐˜Ž๐˜—๐˜›-4.

โ›ท๏ธ Curious how AI can enhance adventure planning?โ€จTry the app and share your thoughts: florentgbelidji/alpine-agent

๐Ÿ‘‰ Want to build your own agents? Whether for cooking, sports training, or other passions, the possibilities are endless. Check out the blog post to learn more: https://huggingface.co/blog/florentgbelidji/alpine-agent

Many thanks to @m-ric for helping on building this tool with smolagents!
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pagezyhfย 
posted an update 3 months ago
jeffboudierย 
posted an update 4 months ago
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742
NVIDIA just announced the Cosmos World Foundation Models, available on the Hub: nvidia/cosmos-6751e884dc10e013a0a0d8e6

Cosmos is a family of pre-trained models purpose-built for generating physics-aware videos and world states to advance physical AI development.
The release includes Tokenizers nvidia/cosmos-tokenizer-672b93023add81b66a8ff8e6

Learn more in this great community article by @mingyuliutw and @PranjaliJoshi https://huggingface.co/blog/mingyuliutw/nvidia-cosmos
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philschmidย 
updated a dataset 5 months ago
pagezyhfย 
posted an update 5 months ago
pagezyhfย 
posted an update 5 months ago
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982
Itโ€™s 2nd of December , hereโ€™s your Cyber Monday present ๐ŸŽ !

Weโ€™re cutting our price down on Hugging Face Inference Endpoints and Spaces!

Our folks at Google Cloud are treating us with a 40% price cut on GCP Nvidia A100 GPUs for the next 3๏ธโƒฃ months. We have other reductions on all instances ranging from 20 to 50%.

Sounds like the time to give Inference Endpoints a try? Get started today and find in our documentation the full pricing details.
https://ui.endpoints.huggingface.co/
https://huggingface.co/pricing
pagezyhfย 
posted an update 5 months ago
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310
Hello Hugging Face Community,

if you use Google Kubernetes Engine to host you ML workloads, I think this series of videos is a great way to kickstart your journey of deploying LLMs, in less than 10 minutes! Thank you @wietse-venema-demo !

To watch in this order:
1. Learn what are Hugging Face Deep Learning Containers
https://youtu.be/aWMp_hUUa0c?si=t-LPRkRNfD3DDNfr

2. Learn how to deploy a LLM with our Deep Learning Container using Text Generation Inference
https://youtu.be/Q3oyTOU1TMc?si=V6Dv-U1jt1SR97fj

3. Learn how to scale your inference endpoint based on traffic
https://youtu.be/QjLZ5eteDds?si=nDIAirh1r6h2dQMD

If you want more of these small tutorials and have any theme in mind, let me know!
jeffboudierย 
posted an update 5 months ago
pagezyhfย 
posted an update 5 months ago
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1373
Hello Hugging Face Community,

I'd like to share here a bit more about our Deep Learning Containers (DLCs) we built with Google Cloud, to transform the way you build AI with open models on this platform!

With pre-configured, optimized environments for PyTorch Training (GPU) and Inference (CPU/GPU), Text Generation Inference (GPU), and Text Embeddings Inference (CPU/GPU), the Hugging Face DLCs offer:

โšก Optimized performance on Google Cloud's infrastructure, with TGI, TEI, and PyTorch acceleration.
๐Ÿ› ๏ธ Hassle-free environment setup, no more dependency issues.
๐Ÿ”„ Seamless updates to the latest stable versions.
๐Ÿ’ผ Streamlined workflow, reducing dev and maintenance overheads.
๐Ÿ”’ Robust security features of Google Cloud.
โ˜๏ธ Fine-tuned for optimal performance, integrated with GKE and Vertex AI.
๐Ÿ“ฆ Community examples for easy experimentation and implementation.
๐Ÿ”œ TPU support for PyTorch Training/Inference and Text Generation Inference is coming soon!

Find the documentation at https://huggingface.co/docs/google-cloud/en/index
If you need support, open a conversation on the forum: https://discuss.huggingface.co/c/google-cloud/69
jeffboudierย 
posted an update 6 months ago
jeffboudierย 
posted an update 7 months ago
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470
Inference Endpoints got a bunch of cool updates yesterday, this is my top 3
jeffboudierย 
posted an update 7 months ago
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4091
Pro Tip - if you're a Firefox user, you can set up Hugging Chat as integrated AI Assistant, with contextual links to summarize or simplify any text - handy!

In this short video I show how to set it up
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jeffboudierย 
posted an update 12 months ago