It's been an exciting year for Transformers. We tripled the number of weekly active users over 2022, with over 1M users most weeks now and 300k daily pip installs on average
@huggingface
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Reinforcement Learning Benchmark and Workshop with Open-Source Tools
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Wonder what we're up to with reinforcement learning? We are excited to help enable this new benchmark and workshop, broadening how compute is re-used in RL with open-source tools and the Hub.
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Docker Now Available for Spaces: Deploy ML Apps Easily
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You can now run Docker with Spaces! What does that mean? @elixirlang Phoenix, Dash, FastAPI, Shiny, and your favorite ML tools can now be used with Spaces! What will you build?
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Hub Platform Experiencing Instability Issues
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Yes, the Hub is facing some instabilities, we are on it
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Hugging Face Spaces GPU Sleep Mode Reduces Billing Costs
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"If a tree falls in a forest and no one is around to hear it, does it make a sound?" I don't know. But if there's no one around to use your hardware-upgraded Space, you can now put it to sleep – getting billed only if someone is visiting it https://
huggingface.co/docs/hub/space
s-gpus#sleep-time
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Elixir Now Supports AI Models from GPT2 to Stable Diffusion
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welcomes @elixirlang ! Elixir now supports models on the Hub, from GPT2 to Stable Diffusion We're excited to see what the community builds with this! @josevalim
, the creator of Elixir, wrote this nice blog post -
Open-source ecosystem growth: timm, diffusers, evaluate, skops
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The open-source ecosystem has grown a lot this year: timm joined us, diffusers, evaluate, and skops were born. How can we do better? If you're a user of our open-source libraries, we'd love you to answer the survey for a badge on GitHub & HF: https://
forms.gle/TTTJJWVUHX1VDM
YX9
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Diffusion models extend to discrete space applications
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Diffusion can also work with discrete spaces
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Transformers and Accelerate Support Latest PyTorch Nightlies
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This is already supported in the latest releases of Transformers and Accelerate, so you can try it today if you install PyTorch from the nightlies!
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PyTorch 2.0 Compiler Delivers Major Training Speedups
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Today the PyTorch team announced a 2.0 milestone, with focus on a new compiler speeding up PyTorch models with zero change in code. We tried it out in the past few weeks and here are the speedups we observed in our canonical training examples.