Gemma 4 Technical Report
Paper • 2607.02770 • Published • 47
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osanseviero
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paper 1 day ago
osanseviero
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paper to Daily Papers 3 days ago
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256
Released lafzyn , built over Qwen, an Urdu language model that converts Urdu text into IPA phonetic transcription, with GGUF builds for local inference.
Release contents:
- mahwizzzz/lafzyn: full weights
- mahwizzzz/lafzyn-gguf: quantized builds
Try it out 🤗
Demo: https://huggingface.co/spaces/mahwizzzz/Lafzyn
Release contents:
- mahwizzzz/lafzyn: full weights
- mahwizzzz/lafzyn-gguf: quantized builds
Try it out 🤗
Demo: https://huggingface.co/spaces/mahwizzzz/Lafzyn
woojun-jung
authored a
paper 2 months ago
1aurent
authored a
paper 3 months ago
Jackmin108
authored a
paper 5 months ago
1aurent
authored a
paper 5 months ago
JingzeShi
authored 2
papers 5 months ago
JingzeShi
submitted a
paper to Daily Papers 5 months ago
Johannes
authored a
paper 7 months ago
kenobi
authored 3
papers 7 months ago
On Invariance Penalties for Risk Minimization
Paper • 2106.09777 • Published
Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization
Paper • 2008.11293 • Published
Bayesian Deep Learning for Exoplanet Atmospheric Retrieval
Paper • 1811.03390 • Published
woojun-jung
authored a
paper 7 months ago
osanseviero
authored a
paper 10 months ago
teknium
authored 2
papers 11 months ago
Post
27247
Okay this is insane... WebGPU-accelerated semantic video tracking, powered by DINOv3 and Transformers.js! 🤯
Demo (+ source code): webml-community/DINOv3-video-tracking
This will revolutionize AI-powered video editors... which can now run 100% locally in your browser, no server inference required (costs $0)! 😍
How does it work? 🤔
1️⃣ Generate and cache image features for each frame
2️⃣ Create a list of embeddings for selected patch(es)
3️⃣ Compute cosine similarity between each patch and the selected patch(es)
4️⃣ Highlight those whose score is above some threshold
... et voilà! 🥳
You can also make selections across frames to improve temporal consistency! This is super useful if the object changes its appearance slightly throughout the video.
Excited to see what the community builds with it!
Demo (+ source code): webml-community/DINOv3-video-tracking
This will revolutionize AI-powered video editors... which can now run 100% locally in your browser, no server inference required (costs $0)! 😍
How does it work? 🤔
1️⃣ Generate and cache image features for each frame
2️⃣ Create a list of embeddings for selected patch(es)
3️⃣ Compute cosine similarity between each patch and the selected patch(es)
4️⃣ Highlight those whose score is above some threshold
... et voilà! 🥳
You can also make selections across frames to improve temporal consistency! This is super useful if the object changes its appearance slightly throughout the video.
Excited to see what the community builds with it!
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1024m
authored a
paper 11 months ago