Enterprise Explorers

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Our team builds AI with open models and open source, collaborating privately with security and advanced access controls.

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jeffboudierΒ 
posted an update 9 days ago
jeffboudierΒ 
posted an update 14 days ago
jeffboudierΒ 
posted an update 24 days ago
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2575
Transcribing 1 hour of audio for less than $0.01 🀯

@mfuntowicz cooked with 8x faster Whisper speech recognition - whisper-large-v3-turbo transcribes at 100x real time on a $0.80/hr L4 GPU!

How they did it: https://huggingface.co/blog/fast-whisper-endpoints

1-click deploy with HF Inference Endpoints: https://endpoints.huggingface.co/new?repository=openai%2Fwhisper-large-v3-turbo&vendor=aws&region=us-east&accelerator=gpu&instance_id=aws-us-east-1-nvidia-l4-x1&task=automatic-speech-recognition&no_suggested_compute=true
jeffboudierΒ 
posted an update about 1 month ago
julien-cΒ 
posted an update about 1 month ago
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4756
BOOOOM: Today I'm dropping TINY AGENTS

the 50 lines of code Agent in Javascript πŸ”₯

I spent the last few weeks working on this, so I hope you will like it.

I've been diving into MCP (Model Context Protocol) to understand what the hype was all about.

It is fairly simple, but still quite powerful: MCP is a standard API to expose sets of Tools that can be hooked to LLMs.

But while doing that, came my second realization:

Once you have a MCP Client, an Agent is literally just a while loop on top of it. 🀯

➑️ read it exclusively on the official HF blog: https://huggingface.co/blog/tiny-agents
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victorΒ 
posted an update about 1 month ago
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4684
DIA TTS is just amazing - please share your funniest gens (here is mine) πŸ˜‚
nari-labs/Dia-1.6B
pagezyhfΒ 
posted an update about 2 months ago
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1980
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
jeffboudierΒ 
posted an update 2 months ago
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2204
Llama4 is out and Scout is already on the Dell Enterprise Hub to deploy on Dell systems πŸ‘‰ dell.huggingface.co
jeffboudierΒ 
posted an update 2 months ago
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1565
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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julien-cΒ 
posted an update 3 months ago
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3891
Important notice 🚨

For Inference Providers who have built support for our Billing API (currently: Fal, Novita, HF-Inference – with more coming soon), we've started enabling Pay as you go (=PAYG)

What this means is that you can use those Inference Providers beyond the free included credits, and they're charged to your HF account.

You can see it on this view: any provider that does not have a "Billing disabled" badge, is PAYG-compatible.
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alvarobarttΒ 
posted an update 3 months ago
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3167
πŸ”₯ Agents can do anything! @microsoft Research just announced the release of Magma 8B!

Magma is a new Visual Language Model (VLM) with 8B parameters for multi-modal agents designed to handle complex interactions across virtual and real environments; and it's MIT licensed!

Magma comes with exciting new features such as:
- Introduces the Set-of-Mark and Trace-of-Mark techniques for fine-tuning
- Leverages a large amount of unlabeled video data to learn the spatial-temporal grounding and planning
- A strong generalization and ability to be fine-tuned for other agentic tasks
- SOTA in different multi-modal benchmarks spanning across UI navigation, robotics manipulation, image / video understanding and spatial understanding and reasoning
- Generates goal-driven visual plans and actions for agentic use cases

Model: microsoft/Magma-8B
Technical Report: Magma: A Foundation Model for Multimodal AI Agents (2502.13130)
victorΒ 
posted an update 4 months ago
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6135
Hey everyone, we've given https://hf.co/spaces page a fresh update!

Smart Search: Now just type what you want to doβ€”like "make a viral meme" or "generate music"β€”and our search gets it.

New Categories: Check out the cool new filter bar with icons to help you pick a category fast.

Redesigned Space Cards: Reworked a bit to really show off the app descriptions, so you know what each Space does at a glance.

Random Prompt: Need ideas? Hit the dice button for a burst of inspiration.

We’d love to hear what you thinkβ€”drop us some feedback plz!
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pagezyhfΒ 
posted an update 4 months ago
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1757
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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victorΒ 
posted an update 4 months ago
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3223
Finally, an open-source AI that turns your lyrics into full songs is hereβ€”meet YuE! Unlike other tools that only create short clips, YuE can make entire songs (up to 5 minutes) with vocals, melody, and instruments all working together. Letsss go!

m-a-p/YuE-s1-7B-anneal-en-cot
pagezyhfΒ 
posted an update 5 months ago
andrewrreedΒ 
posted an update 5 months ago
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2945
πŸš€ Supercharge your LLM apps with Langfuse on Hugging Face Spaces!

Langfuse brings end-to-end observability and tooling to accelerate your dev workflow from experiments through production

Now available as a Docker Space directly on the HF Hub! πŸ€—

πŸ” Trace everything: monitor LLM calls, retrieval, and agent actions with popular frameworks
1⃣ One-click deployment: on Spaces with persistent storage and integrated OAuth
πŸ›  Simple Prompt Management: Version, edit, and update without redeployment
βœ… Intuitive Evals: Collect user feedback, run model/prompt evaluations, and improve quality
πŸ“Š Dataset Creation: Build datasets directly from production data to enhance future performance

Kudos to the Langfuse team for this collab and the awesome, open-first product they’re building! πŸ‘ @marcklingen @Clemo @MJannik

πŸ”— Space: langfuse/langfuse-template-space
πŸ”— Docs: https://huggingface.co/docs/hub/spaces-sdks-docker-langfuse
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jeffboudierΒ 
posted an update 5 months ago
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751
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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