Bridging the Data Provenance Gap Across Text, Speech and Video
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2412.17847
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mmhamdy
authored
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paper
4 days ago
victor
updated
a
Space
8 days ago
use authentication in huggingface Gradio API!!!(hosting on ZeroGPU)
21
#129 opened 2 months ago
by
Nerva1228
Pytorch packages compiled with CUDA on Gradio Spaces
#144 opened 12 days ago
by
perler
gagan3012
authored
a
paper
15 days ago
MoritzLaurer
posted
an
update
15 days ago
Post
2498
Quite excited by the ModernBERT release! 0.15/0.4B small, 2T modern pre-training data and tokenizer with code, 8k context window, great efficient model for embeddings & classification!
This will probably be the basis for many future SOTA encoders! And I can finally stop using DeBERTav3 from 2021 :D
Congrats @answerdotai , @LightOnIO and collaborators like @tomaarsen !
Paper and models here 👇https://huggingface.co/collections/answerdotai/modernbert-67627ad707a4acbf33c41deb
This will probably be the basis for many future SOTA encoders! And I can finally stop using DeBERTav3 from 2021 :D
Congrats @answerdotai , @LightOnIO and collaborators like @tomaarsen !
Paper and models here 👇https://huggingface.co/collections/answerdotai/modernbert-67627ad707a4acbf33c41deb
- 1 reply
toshas
authored
a
paper
15 days ago
Post
1187
Introducing ⇆ Marigold-DC — our training-free zero-shot approach to monocular Depth Completion with guided diffusion! If you have ever wondered how else a long denoising diffusion schedule can be useful, we have an answer for you!
Depth Completion addresses sparse, incomplete, or noisy measurements from photogrammetry or sensors like LiDAR. Sparse points aren’t just hard for humans to interpret — they also hinder downstream tasks.
Traditionally, depth completion was framed as image-guided depth interpolation. We leverage Marigold, a diffusion-based monodepth model, to reframe it as sparse-depth-guided depth generation. How the turntables! Check out the paper anyway 👇
🌎 Website: https://marigolddepthcompletion.github.io/
🤗 Demo: prs-eth/marigold-dc
📕 Paper: https://arxiv.org/abs/2412.13389
👾 Code: https://github.com/prs-eth/marigold-dc
Team ETH Zürich: Massimiliano Viola ( @mviola ), Kevin Qu ( @KevinQu7 ), Nando Metzger ( @nandometzger ), Bingxin Ke ( @Bingxin ), Alexander Becker, Konrad Schindler, and Anton Obukhov ( @toshas ). We thank
Hugging Face for their continuous support.
Depth Completion addresses sparse, incomplete, or noisy measurements from photogrammetry or sensors like LiDAR. Sparse points aren’t just hard for humans to interpret — they also hinder downstream tasks.
Traditionally, depth completion was framed as image-guided depth interpolation. We leverage Marigold, a diffusion-based monodepth model, to reframe it as sparse-depth-guided depth generation. How the turntables! Check out the paper anyway 👇
🌎 Website: https://marigolddepthcompletion.github.io/
🤗 Demo: prs-eth/marigold-dc
📕 Paper: https://arxiv.org/abs/2412.13389
👾 Code: https://github.com/prs-eth/marigold-dc
Team ETH Zürich: Massimiliano Viola ( @mviola ), Kevin Qu ( @KevinQu7 ), Nando Metzger ( @nandometzger ), Bingxin Ke ( @Bingxin ), Alexander Becker, Konrad Schindler, and Anton Obukhov ( @toshas ). We thank
Hugging Face for their continuous support.
MoritzLaurer
posted
an
update
18 days ago
Post
1147
"Open-source AI: year in review 2024": amazing Space with lots of data-driven insights into AI in 2024! Check it out 👇
huggingface/open-source-ai-year-in-review-2024
huggingface/open-source-ai-year-in-review-2024
- 2 replies
MoritzLaurer
posted
an
update
22 days ago
Post
1280
I've been building a small library for working with prompt templates on the HF hub:
The community currently shares prompt templates in a wide variety of formats: in datasets, in model cards, as strings in .py files, as .txt/.yaml/.json/.jinja2 files etc. This makes sharing and working with prompt templates unnecessarily complicated.
Prompt templates are currently the main hyperparameter that people tune when building complex LLM systems or agents. If we don't have a common standard for sharing them, we cannot systematically test and improve our systems. After comparing different community approaches, I think that working with modular .yaml or .json files is the best approach.
The
- proposes a standard for sharing prompts (entirely locally or on the HF hub)
- provides some utilities that are interoperable with the broader ecosystem
Try it:
The library is in early stages, feedback is welcome!
More details in the docs: https://github.com/MoritzLaurer/prompt_templates/
pip install prompt-templates. Motivation: The community currently shares prompt templates in a wide variety of formats: in datasets, in model cards, as strings in .py files, as .txt/.yaml/.json/.jinja2 files etc. This makes sharing and working with prompt templates unnecessarily complicated.
Prompt templates are currently the main hyperparameter that people tune when building complex LLM systems or agents. If we don't have a common standard for sharing them, we cannot systematically test and improve our systems. After comparing different community approaches, I think that working with modular .yaml or .json files is the best approach.
The
prompt-templates library : - proposes a standard for sharing prompts (entirely locally or on the HF hub)
- provides some utilities that are interoperable with the broader ecosystem
Try it:
# !pip install prompt-templates
from prompt_templates import PromptTemplateLoader
prompt_template = PromptTemplateLoader.from_hub(repo_id="MoritzLaurer/closed_system_prompts", filename="claude-3-5-artifacts-leak-210624.yaml")The library is in early stages, feedback is welcome!
More details in the docs: https://github.com/MoritzLaurer/prompt_templates/
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- 1 reply
[GPU-Zero] _pickle.PicklingError: Can't pickle local object 'State.__init__.<locals>.<lambda>'
1
#136 opened 26 days ago
by
Mar2Ding
Post
1310
We are blessed with another iteration of Pali Gemma. Google launches PaliGemma 2.
google/paligemma-2-release-67500e1e1dbfdd4dee27ba48
merve/paligemma2-vqav2
google/paligemma-2-release-67500e1e1dbfdd4dee27ba48
merve/paligemma2-vqav2
mmhamdy
authored
a
paper
30 days ago
wren93
authored
a
paper
about 1 month ago
toshas
authored
a
paper
about 1 month ago
PKUWilliamYang
authored
a
paper
about 1 month ago
Restore ZeroGPU Resources
#135 opened about 1 month ago
by
JUGGHM
Request for Community Grant for ZeroGPU
2
#134 opened about 1 month ago
by
l-li
wren93
authored
a
paper
about 1 month ago
RuntimeError: No CUDA GPUs are available
1
#133 opened about 1 month ago
by
BestWishYsh