ChocoLlama: Lessons Learned From Teaching Llamas Dutch
Paper
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2412.07633
•
Published
Spaces-explorers
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pdelobelle
authored
a
paper
15 days ago
hadasor
authored
a
paper
3 months ago
Post
4355
Hello everybody,
We've rolled out a major update to ZeroGPU! All the Spaces are now running on it.
Major improvements:
1. GPU cold starts about twice as fast!
2. RAM usage reduced by two-thirds, allowing more effective resource usage, meaning more GPUs for the community!
3. ZeroGPU initializations (coldstarts) can now be tracked and displayed (use
4. Improved compatibility and PyTorch integration, increasing ZeroGPU compatible spaces without requiring any modifications!
Feel free to answer in the post if you have any questions
🤗 Best regards,
Charles
We've rolled out a major update to ZeroGPU! All the Spaces are now running on it.
Major improvements:
1. GPU cold starts about twice as fast!
2. RAM usage reduced by two-thirds, allowing more effective resource usage, meaning more GPUs for the community!
3. ZeroGPU initializations (coldstarts) can now be tracked and displayed (use
progress=gr.Progress(track_tqdm=True))4. Improved compatibility and PyTorch integration, increasing ZeroGPU compatible spaces without requiring any modifications!
Feel free to answer in the post if you have any questions
🤗 Best regards,
Charles
Post
1955
I’ve built a simple Room Cleaner app to remove clutter from messy room.
Try the Space here: https://huggingface.co/spaces/blanchon/room_cleaner
Try the Space here: https://huggingface.co/spaces/blanchon/room_cleaner
- 3 replies
kingabzpro
posted
an
update
4 months ago
Post
1077
I believe Hugging Face should have something similar to Hacktoberfest. I miss the days when there were events like this every 3 months for audio, deep reinforcement learning, gradio themes, but it turns out everything slowed down. There are no more Hugging Face events.
@victor
@victor
-
- 3 replies
kingabzpro
posted
an
update
4 months ago
Post
1273
I never imagined that Jenkins could be as powerful and easy to implement as GitHub Actions. Loving it. 🥰
kingabzpro
posted
an
update
4 months ago
Post
1838
How can I make my RAG application generate real-time responses? Up until now, I have been using Groq for fast LLM generation and the Gradio Live function. I am looking for a better solution that can help me build a real-time application without any delay.
@abidlabs
kingabzpro/Real-Time-RAG
kingabzpro/Real-Time-RAG
-
- 2 replies
KennethEnevoldsen
authored
4
papers
4 months ago
Encoder vs Decoder: Comparative Analysis of Encoder and Decoder Language Models on Multilingual NLU Tasks
Paper
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2406.13469
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Published
DaCy: A Unified Framework for Danish NLP
Paper
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2107.05295
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Published
Danish Foundation Models
Paper
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2311.07264
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Published
$S^3$ -- Semantic Signal Separation
Paper
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2406.09556
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Published
pdelobelle
authored
a
paper
5 months ago
KennethEnevoldsen
authored
3
papers
7 months ago
Augmenty: A Python Library for Structured Text Augmentation
Paper
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2312.05520
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Published
DANSK and DaCy 2.6.0: Domain Generalization of Danish Named Entity Recognition
Paper
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2402.18209
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Published
•
1
The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding
Paper
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2406.02396
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Published
Post
5793
Thanks to
@OzzyGT
for pushing the new Anyline preprocessor to https://github.com/huggingface/controlnet_aux. Now you can use the
TheMistoAI/MistoLine ControlNet with Diffusers completely.
Here's a demo for you: radames/MistoLine-ControlNet-demo
Super resolution version: radames/Enhance-This-HiDiffusion-SDXL
Here's a demo for you: radames/MistoLine-ControlNet-demo
Super resolution version: radames/Enhance-This-HiDiffusion-SDXL
from controlnet_aux import AnylineDetector
anyline = AnylineDetector.from_pretrained(
"TheMistoAI/MistoLine", filename="MTEED.pth", subfolder="Anyline"
).to("cuda")
source = Image.open("source.png")
result = anyline(source, detect_resolution=1280)Post
6564
At Google I/O 2024, we're collaborating with the Google Visual Blocks team (https://visualblocks.withgoogle.com) to release custom Hugging Face nodes. Visual Blocks for ML is a browser-based tool that allows users to create machine learning pipelines using a visual interface. We're launching nodes with Transformers.js, running models on the browser, as well as server-side nodes running Transformers pipeline tasks and LLMs using our hosted inference. With
@Xenova
@JasonMayes
You can learn more about it here https://huggingface.co/blog/radames/hugging-face-google-visual-blocks
Source-code for the custom nodes:
https://github.com/huggingface/visual-blocks-custom-components
You can learn more about it here https://huggingface.co/blog/radames/hugging-face-google-visual-blocks
Source-code for the custom nodes:
https://github.com/huggingface/visual-blocks-custom-components
Post
2011
AI-town now runs on Hugging Face Spaces with our API for LLMs and embeddings, including the open-source Convex backend, all in one container. Easy to duplicate and config on your own
Demo: radames/ai-town
Instructions: https://github.com/radames/ai-town-huggingface
Demo: radames/ai-town
Instructions: https://github.com/radames/ai-town-huggingface
- 9 replies
Post
2526
HiDiffusion SDXL now supports Image-to-Image, so I've created an "Enhance This" version using the latest ControlNet Line Art model called MistoLine. It's faster than DemoFusion
Demo: radames/Enhance-This-HiDiffusion-SDXL
Older version based on DemoFusion radames/Enhance-This-DemoFusion-SDXL
New Controlnet SDXL Controls Every Line TheMistoAI/MistoLine
HiDiffusion is compatible with diffusers and support many SD models - https://github.com/megvii-research/HiDiffusion
Demo: radames/Enhance-This-HiDiffusion-SDXL
Older version based on DemoFusion radames/Enhance-This-DemoFusion-SDXL
New Controlnet SDXL Controls Every Line TheMistoAI/MistoLine
HiDiffusion is compatible with diffusers and support many SD models - https://github.com/megvii-research/HiDiffusion
- 1 reply
Post
3847
I just shared a blogpost on https://nateraw.com explaining the motivation + process of training
nateraw/musicgen-songstarter-v0.2 - including training details, WandB logs, hparams, and notes on previous experiments.
Check it out here ⤵️
https://nateraw.com/posts/training_musicgen_songstarter.html
:) still kinda a WIP so if there's anything else you want to see, let me know.
Check it out here ⤵️
https://nateraw.com/posts/training_musicgen_songstarter.html
:) still kinda a WIP so if there's anything else you want to see, let me know.
- 3 replies