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Explore the open collaboration between Google's open models and the Hugging Face ecosystem, ensuring seamless integration.
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#Gemma #GemmaDeveloperDay
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#Gemma #GemmaDeveloperDay
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Up Next
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07:20
Demo: Unleashing Gemma in production with Hugging Face Text Generation Inference (TGI)
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02:02
Gemma Scope demo with Neuronpedia
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06:20
Demo: Multi-modal Gemma: PaliGemma with Keras
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07:57
Demo: Gemma on-device with MediaPipe and TensorFlow Lite
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Hugging Face + Gemma = ????
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08:43
Demo: Post-training research with Gemma
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11:34
Demo: Taking Gemma from prototype to production faster with Vertex AI
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05:57
Customize Gemma with Hugging Face Transformers
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10:07
Demo: Building a Gemma chatbot with Keras
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11:37
Demo: Rapid prototyping with Gemma and Llama.cpp
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06:37
Demo: Teach Gemma to work in YOUR language
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07:24
Demo: Gemma Scope: Sparse autoencoders on Gemma 2
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08:34
Demo: Deploying Gemma at dataflow scale
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08:52
Demo: Gemma data, training, and the path to improvement
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08:12
Demo: Gemma 2 architecture: JAX, Flax, and more
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08:12
Demo: JAX, Flax and Gemma
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06:31
Gemma in Minutes: 3 ways to run Gemma’s latest version!
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07:12
Demo: Gemma 2 2B on a Jetson Orin Nano
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12:21
Demo: Optimizing Gemma inference on NVIDIA GPUs with TensorRT-LLM
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38:24
An LLM journey speed run: Going from Hugging Face to Vertex AI
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12:13
Panasonic G85 Face Recognition Demo Using Both G85 and 5D Mark 4
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07:12
Demo: Gemma on-device with MediaPipe
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