AutoTrain DreamBooth is now available for training on Hugging Face Spaces! It means, you can train models like SDXL, Stable Diffusion 1.5/2.0, etc on your own images on Spaces Hardware! Not only that, you can train multiple jobs for one model with different parameters,
OPEN SOURCE
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DINOv2 Released Under Apache 2.0 License with Dense Prediction Models
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To support innovation in computer vision, we’re making DINOv2 available under the Apache 2.0 license + releasing a collection of DINOv2-based dense prediction models for semantic image segmentation and monocular depth estimation.
— AI at Meta (@AIatMeta) 31 août 2023
Try our updated demo ➡️ https://t.co/ctwiBFWS4W pic.twitter.com/5tKU1JDSbWTo support innovation in computer vision, we’re making DINOv2 available under the Apache 2.0 license + releasing a collection of DINOv2-based dense prediction models for semantic image segmentation and monocular depth estimation. Try our updated demo https://
bit.ly/44FsfIQ -
DINOv2 License Expansion and FACET Benchmark for Vision Fairness
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Today we’re announcing two new updates in our computer vision work — a new, expanded license for our DINOv2 model and the release of FACET, a comprehensive new benchmark dataset to help evaluate and improve fairness in vision models.
— AI at Meta (@AIatMeta) 31 août 2023
More details ➡️ https://t.co/fDHYNpGrta
🧵 pic.twitter.com/dOXDWOLKSYToday we’re announcing two new updates in our computer vision work — a new, expanded license for our DINOv2 model and the release of FACET, a comprehensive new benchmark dataset to help evaluate and improve fairness in vision models. More details https://
bit.ly/3L35E1U -
LIMA Dataset Support Added to Lit-GPT Framework
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Finally got around adding LIMA to Lit-GPT (upon popular request). You can use it now to finetune any of the supported LLMs (Llama 2, Falcon, LongChat, … you name it). More usage info here: https://
github.com/Lightning-AI/l
it-gpt/blob/main/tutorials/prepare_dataset.md#lima
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Top Popular Python Projects for Various Applications
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Top #Python Projects – There are many popular #PythonProjects that are widely used in a variety of applications. By @ingliguori #Django
#TensorFlow
#PyQt
#scikitlearn
#Pygame
#NumPy
#pandas
#Flask
#OpenCV
#PyTorch #machinelearning #artificialintelligence #datascience #AI -
Hugging Face Account Setup for AutoTrain SpaceRunner Scripts
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All you need is a http://
hf.co account and a valid payment method attached to your account/organization. Once you have that, place all your scripts/packages with entrypoint at http://
script.py and pass it to `–script-path` argument of autotrain spacerunner 2/N -
Train Custom Scripts on HuggingFace Spaces with AutoTrain SpaceRunner
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You made your own training script but don't have resources to train? No worries! Now you can train custom scripts on HuggingFace Spaces Backend using AutoTrain's SpaceRunner! The training starts instantly and upon completion, the space is paused saving lots of $ 1/N
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WizardCoder vs Phind-V2: Code Model Performance Comparison
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The WizardCoder vs Phind-V2 perf challenge is fascinating to watch! Both seems really good code models: https://
reddit.com/r/LocalLLaMA/c
omments/165qeb3/wizardcoder_vs_phindv2_prelim_pass1_comparison
… Funny to remember that GPT4 was only scoring 67% on HumanEval at its release OpenAI also went a long way in a few months up to its current 84%! -
Open Source Definition Challenged by LLMs and AI Era
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Talking w/ a friend and it's not at all clear what open source means in an era of LLMs (what, exactly, is the source code?) and AI, generally. I suspect we're going to need another big discussion, similar to when cloud changed how we thought about code "distribution".
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Keras Core Models Compatible with PyTorch Module Objects
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Inversely, Keras Core models behave like torch `Module` objects and can be used anywhere you'd use a `Module`.