Excited to introduce our CodeElo, a new competition-level code benchmark that provides human-comparable Elo rating for the first time!😘
Also glad to see QwQ-32B-Preview did a really amazing performance among open-source models!👋
paper: huggingface.co/papers/2501.01…
Excited to introduce our CodeElo, a new competition-level code benchmark that provides human-comparable Elo rating for the first time!😘
Also glad to see QwQ-32B-Preview did a really amazing performance among open-source models!👋
paper: huggingface.co/papers/2501.01… https://t.co/eIG6hKU8KX
DVC 3.0 goes beyond the command line!
Introducing the DVC Stack! This release improves DVC's core versioning and experiments functionality and enables new workflows like model registry and cloud experiments, improving the end-to-end model development journey!
🧵1/7
seaborn v0.12.1 is out!
It has a handful of bug fixes and several new components in the objects interface, supporting plots that haven’t previously been possible in seaborn:
seaborn.pydata.org/whatsnew/v0.12…
pip install seaborn==v0.12.1
Want to generate Stable Diffusions images real fast?
Upon popular request, we just launched the Muse App on Lightning ⚡️ lightning.ai/muse/
Want to build and deploy your own app (maybe the next-gen video diffusion model)? Here's a hands-on tutorial: lightning.ai/pages/communit…
Want to generate Stable Diffusions images real fast?
Upon popular request, we just launched the Muse App on Lightning ⚡️ lightning.ai/muse/
Want to build and deploy your own app (maybe the next-gen video diffusion model)? Here's a hands-on tutorial: lightning.ai/pages/communit… https://t.co/bvrOTKz4vE
SetFit: Efficient few-shot learning with Sentence Transformers
So exciting!
Train robust models with very few examples, fast training, fast inference, and comparable/better than other LLMs and prompt-based methods.
github.com/huggingface/se…#python#opensource#NLProc
Introduction to @spacy_io 3 a free Course for Beginners with Jupyter Notebooks by @wjb_mattinglyspacy.pythonhumanities.com
THE BUILDING BLOCKS OF SPACY 3
1. The Basics of spaCy
2. spaCy Linguistic Annotations
3. Word Vectors and spaCy
4. spaCy Pipelines
How to train state-of-the-art sentence embeddings models? 📺
Here is a deep-dive on:
- Which loss to use & how to tune it 📈
- Which type of training data you need 📁
- How to create optimal batches 🔠
youtu.be/RHXZKUr8qOY
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