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the-partnership-amazon-sagemaker-and-hugging-face.md the_n_implementation_details_of_rlhf_with_ppo.md time-series-transformers.md train-decision-transformers.md train-optimize-sd-intel.md train-your-controlnet.md transformers-design-philosophy.md trl-ddpo.md trl-peft.md unity-api.md unit...
the-partnership-amazon-sagemaker-and-hugging-face.md the_n_implementation_details_of_rlhf_with_ppo.md time-series-transformers.md train-decision-transformers.md train-optimize-sd-intel.md train-your-controlnet.md transformers-design-philosophy.md trl-ddpo.md trl-peft.md unity-api.md...
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Under the hood, this demo runs on several TPU v5e-4 instances (each instance has 4 TPU chips) and takes advantage of parallelization to serve four large 1024×1024 images in about 4 seconds. This time includes format conversions, communications time, and frontend processing; the actual ...
the-partnership-amazon-sagemaker-and-hugging-face.md the_n_implementation_details_of_rlhf_with_ppo.md time-series-transformers.md train-decision-transformers.md train-dgx-cloud.md train-optimize-sd-intel.md train-your-controlnet.md transformers-design-philosophy.md trl-ddpo.md trl-p...
deploy-hugging-face-models-easily-with-amazon-sagemaker.md deploy-tfserving-kubernetes.md deploy-vertex-ai.md dialog-agents.md diffusers-2nd-month.md diffusers-coreml.md diffusers-turns-1.md diffusion-models-event.md document-ai.md dpo-trl.md dreambooth.md education.md elixir-bumble...
the-partnership-amazon-sagemaker-and-hugging-face.md the_n_implementation_details_of_rlhf_with_ppo.md time-series-transformers.md tpu-inference-endpoints-spaces.md train-decision-transformers.md train-dgx-cloud.md train-optimize-sd-intel.md train-sentence-transformers.md train-your-c...