A huge thank you to @linesofcodedev who contributed the whole @huggingface/inference package! Want to generate images with stable diffusion? It's just a few lines of code. Set a token if you want higher usage limits. 2/2
@huggingface
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Hugging Face releases JavaScript libraries for browser and Node
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We're releasing JS libraries to interact with Hugging Face: https://
github.com/huggingface/hu
ggingface.js
…! Use them in the browser, or with Node / Bun / Deno. TS is supported. We're already using them in production! 1/2 -
Community Sprint: Training DreamBooth Models with TensorFlow Keras
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We are going to have a community sprint to train DreamBooth models using @TensorFlow Keras Details on how to join is in this thread
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New Ethics & Society Page Launches for AI Community
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Check out our new Ethics & Society page to see what we've been up to, and to learn about how our community is working on ethically-minded AI
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AWS Partnership to Accelerate Open-Source Machine Learning Availability
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Today we are excited to announce a new partnership with @awscloud
! Together, we will accelerate the availability of open-source machine learning Read the post -
TIMM Joins Hugging Face: 500 Models and Growing
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timm, welcome to Hugging Face: https://
github.com/huggingface/py
torch-image-models
… Since @wightmanr joined the team in June, a lot has happened. We're closing in on 500 models on the HF Hub, and the docs live at https://
huggingface.co/docs/timm/index Next Better interop w/ transformers, safetensors, … what else? -
Hugging Face Learning Paths: Course vs Conversational Tasks
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https://
huggingface.co/course/chapter
1/1
… or https://
huggingface.co/tasks/conversa
tional
… ? -
Livebook Now Available on Spaces with Official Templates
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New Open Source Collaboration alert You can now run Livebook on Spaces with just a few clicks via the official templates. Livebook is equivalent to Jupyter notebooks but for Elixir and has many powerful features. Check it out!
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Partnership Democratizes Generative AI Access Across Platforms
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By joining forces, we want to further democratize the power of generative AI and make it available to as many users as possible. A special thanks to @keturn_hax for leading the integration and to everybody else at @InvokerAI and @diffuserslib involved
