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
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Elixir Now Supports AI Models from GPT2 to Stable Diffusion
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Whisper Model 8-bit Loading: Memory-Efficient Inference
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Like all the models on the transformers models, all Whisper checkpoints can be loaded in a memory-efficient way! With load_in_8bit=True you can load the model with 8-bit precision. P.S. You can load a Whisper-large model < 6.6 gig VRAM
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Whisper: Transcribe Audio and YouTube Videos with AI
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Transcribe audio and YouTube videos with any pre-trained or fine-tuned Whisper checkpoint on the hub! All you need to do is duplicate this space and update your checkpoint name and language! https://
huggingface.co/spaces/whisper
-event/whisper-demo
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Whisper Model Long Transcription Using Transformers Pipeline
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Use any Whisper model on the hub for long transcription using the transformers pipeline! Just add chunk_length_s parameter to the pipeline and it'll slide through the audio to create a transcription.
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Whisper Models Hub: Demos and Scripts Showcase
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With great models, come excellent capabilities! With the influx of many brilliant models on the hub, we created some demos and scripts to showcase what the Whisper models are capable of! Here's a thread of all the cool stuff you can do with Whisper models on the Hub
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PDEArena Benchmarking and FNO Architectural Improvements in PyTorch
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I agree. Great to see PDEArena as a convenient benchmarking environment for PDE in @pytorchlightnin Also great to see further architectural improvements to FNO by integrating it within U-Net like structure. Would be great if PINO can also be added https://
arxiv.org/abs/2111.03794 -
Grace Hopper’s COBOL: pioneering free software in 1960
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#otd in 1960 Grace Hopper launched her programming language COBOL, one of the world’s first pieces of free software – and one that’s still used in many banking & payroll systems.
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LambdaAPI Giveaway: $330 Cloud Credits for Whisper Fine-tuning
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Last but not least! @LambdaAPI will giveaway 330$ cloud to the 3 participants of the event. Anyone who shares their journey fine-tuning the Whisper model on twitter and tag @huggingface & @LambdaAPI would be eligible. 330$ is enough to get 300 1x A100 compute
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Whisper Small Model Fine-tuned for Greek to English Translation
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Whisper small checkpoint fine-tuned for Greek to English translation task https://
huggingface.co/farsipal/whisp
er-sm-el-frzEnc-xlate
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Whisper Large Czech Fine-tuned Model Achieves 10.278 WER
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Whisper large checkpoint fine-tuned for Czech with a WER of 10.278 by @miker