Hugging Face Changelog
Service Accounts for Enterprise organizations
β’ 125
Saugat Kafley
Saugatkafley
AI & ML interests
AI, Machine Learning, Deep Learning
Recent Activity
upvoted a changelog 8 days ago
Service Accounts for Enterprise organizations reacted to wangbuer999's post with π₯ about 2 months ago
Testing AI controlling AI with Hy3 Preview I barely lifted a finger the whole time.
One-click deployment of Hermes on WorkBuddy took some time with a few rounds of adjustments, and I finally got it up and running smoothly
Only minor issue was setting up Supermemory it was a bit slow on the uptake. I had to go over simple steps several times, guiding it patiently like teaching a kid.
The experience of AI orchestrating AI is absolutely incredible. started running Agents with Hunyuan right after its release, and it actually works perfectly.
295B parameters, 21B active parameters, with direct access to TokenHub now great cost-performance ratio too
Honestly, I used to get stuck on all kinds of environment configurations when deploying Agents locally. Using Hy3 to take command made the whole process way more streamlined. liked a model 2 months ago
nvidia/Kimodo-SMPLX-RP-v1Organizations
upvoted a changelog 8 days ago
reacted to wangbuer999's post with π₯ about 2 months ago
Post
3566
Testing AI controlling AI with Hy3 Preview I barely lifted a finger the whole time.
One-click deployment of Hermes on WorkBuddy took some time with a few rounds of adjustments, and I finally got it up and running smoothly
Only minor issue was setting up Supermemory it was a bit slow on the uptake. I had to go over simple steps several times, guiding it patiently like teaching a kid.
The experience of AI orchestrating AI is absolutely incredible. started running Agents with Hunyuan right after its release, and it actually works perfectly.
295B parameters, 21B active parameters, with direct access to TokenHub now great cost-performance ratio too
Honestly, I used to get stuck on all kinds of environment configurations when deploying Agents locally. Using Hy3 to take command made the whole process way more streamlined.
One-click deployment of Hermes on WorkBuddy took some time with a few rounds of adjustments, and I finally got it up and running smoothly
Only minor issue was setting up Supermemory it was a bit slow on the uptake. I had to go over simple steps several times, guiding it patiently like teaching a kid.
The experience of AI orchestrating AI is absolutely incredible. started running Agents with Hunyuan right after its release, and it actually works perfectly.
295B parameters, 21B active parameters, with direct access to TokenHub now great cost-performance ratio too
Honestly, I used to get stuck on all kinds of environment configurations when deploying Agents locally. Using Hy3 to take command made the whole process way more streamlined.
liked a
model 2 months ago
liked a
model 10 months ago
upvoted a paper 10 months ago
published a
Space about 1 year ago
upvoted an article over 1 year ago
Article
Welcome to Inference Providers on the Hub π₯
- +5
burkaygur, zeke, aton2006, hassanelmghari, sbrandeis, kramp, julien-c
β’ β’ 494 reacted to jasoncorkill's post with β€οΈ over 1 year ago
Post
4962
Runway Gen-3 Alpha: The Style and Coherence Champion
Runway's latest video generation model, Gen-3 Alpha, is something special. It ranks #3 overall on our text-to-video human preference benchmark, but in terms of style and coherence, it outperforms even OpenAI Sora.
However, it struggles with alignment, making it less predictable for controlled outputs.
We've released a new dataset with human evaluations of Runway Gen-3 Alpha: Rapidata's text-2-video human preferences dataset. If you're working on video generation and want to see how your model compares to the biggest players, we can benchmark it for you.
π DM us if youβre interested!
Dataset: Rapidata/text-2-video-human-preferences-runway-alpha
Runway's latest video generation model, Gen-3 Alpha, is something special. It ranks #3 overall on our text-to-video human preference benchmark, but in terms of style and coherence, it outperforms even OpenAI Sora.
However, it struggles with alignment, making it less predictable for controlled outputs.
We've released a new dataset with human evaluations of Runway Gen-3 Alpha: Rapidata's text-2-video human preferences dataset. If you're working on video generation and want to see how your model compares to the biggest players, we can benchmark it for you.
π DM us if youβre interested!
Dataset: Rapidata/text-2-video-human-preferences-runway-alpha
- 1 reply
reacted to DamarJati's post with πβ€οΈ over 1 year ago
Post
4689
Happy New Year 2025 π€
For the Huggingface community.
For the Huggingface community.
liked a
Space over 1 year ago
reacted to asoria's post with π almost 2 years ago
Post
848
I've been working on a Space to make it super easy to create notebooks and help users quickly understand and manipulate their data!
With just a few clicks automatically generate notebooks for:
π Exploratory Data Analysis
π§ Text Embeddings
π€ Retrieval-Augmented Generation (RAG)
β¨ Automatic training is coming soon!
Check it out here asoria/auto-notebook-creator
Appreciate any feedback to improve this tool π€
With just a few clicks automatically generate notebooks for:
π Exploratory Data Analysis
π§ Text Embeddings
π€ Retrieval-Augmented Generation (RAG)
β¨ Automatic training is coming soon!
Check it out here asoria/auto-notebook-creator
Appreciate any feedback to improve this tool π€
reacted to kadirnar's post with π almost 2 years ago
Post
4647
I am training a controlnet model for Flux. And some of my experiences:
Checkpoint-10000:
https://x.com/kadirnar_ai/status/1829831750471606668
Checkpoint-12000:
https://x.com/kadirnar_ai/status/1829889524962640001
Checkpoint-14000:
https://x.com/kadirnar_ai/status/1829989622878744711
Checkpoint (16000-18000):
https://x.com/kadirnar_ai/status/1830179551407665654
Dataset: kadirnar/fluxdev_controlnet_16k
GPU: 1xA100(80GB)
GPU Hours: 65
Checkpoint-10000:
https://x.com/kadirnar_ai/status/1829831750471606668
Checkpoint-12000:
https://x.com/kadirnar_ai/status/1829889524962640001
Checkpoint-14000:
https://x.com/kadirnar_ai/status/1829989622878744711
Checkpoint (16000-18000):
https://x.com/kadirnar_ai/status/1830179551407665654
Dataset: kadirnar/fluxdev_controlnet_16k
GPU: 1xA100(80GB)
GPU Hours: 65
- 1 reply
liked a
model almost 2 years ago
liked a
Space almost 2 years ago
reacted to davidberenstein1957's post with π§ almost 2 years ago
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3041
π We will be generating a preference dataset for DPO/ORPO and cleaning it with AI feedback during our upcoming meetup!
In this session, we'll walk you through the essentials of building a distilabel pipeline by exploring two key use cases: cleaning an existing dataset and generating a preference dataset for DPO/ORPO. Youβll also learn how to make the most of AI feedback, integrating Argilla to gather human feedback and improve the overall data quality.
This session is perfect for you
- if youβre getting started with distilabel or synthetic data
- if you want to learn how to use LLM inference endpoints for **free**
- if you want to discover new functionalities
- if you want to provide us with new feedback
Sign up here: https://lu.ma/dt0c7jru
In this session, we'll walk you through the essentials of building a distilabel pipeline by exploring two key use cases: cleaning an existing dataset and generating a preference dataset for DPO/ORPO. Youβll also learn how to make the most of AI feedback, integrating Argilla to gather human feedback and improve the overall data quality.
This session is perfect for you
- if youβre getting started with distilabel or synthetic data
- if you want to learn how to use LLM inference endpoints for **free**
- if you want to discover new functionalities
- if you want to provide us with new feedback
Sign up here: https://lu.ma/dt0c7jru
reacted to victor's post with π₯ almost 2 years ago
Post
6635
π Calling all Hugging Face users! We want to hear from YOU!
What feature or improvement would make the biggest impact on Hugging Face?
Whether it's the Hub, better documentation, new integrations, or something completely different β we're all ears!
Your feedback shapes the future of Hugging Face. Drop your ideas in the comments below! π
What feature or improvement would make the biggest impact on Hugging Face?
Whether it's the Hub, better documentation, new integrations, or something completely different β we're all ears!
Your feedback shapes the future of Hugging Face. Drop your ideas in the comments below! π
- 190 replies
liked a
model almost 2 years ago
upvoted a paper almost 2 years ago
liked a
Space almost 2 years ago