You can find here a list of the notebooks associated with each accelerator in 🤗 Optimum.
| Notebook | Description | Colab | Studio Lab |
|---|---|---|---|
| How to use DeepSpeed to train models with billions of parameters on Habana Gaudi | Show how to use DeepSpeed to pre-train/fine-tune the 1.6B-parameter GPT2-XL for causal language modeling on Habana Gaudi. | |
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| Notebook | Description | Colab | Studio Lab |
|---|---|---|---|
| How to run inference with OpenVINO | Explains how to export your model to OpenVINO and run inference with OpenVINO Runtime on various tasks | |
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| How to quantize a question answering model with NNCF | Show how to apply post-training quantization on a question answering model using NNCF and to accelerate inference with OpenVINO | |
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| Compare outputs of a quantized Stable Diffusion model with its full-precision counterpart | Show how to load and compare outputs from two Stable Diffusion models with different precision | |
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| Notebook | Description | Colab | Studio Lab |
|---|---|---|---|
| How to quantize a model with Intel Neural Compressor for text classification | Show how to apply quantization while training your model using Intel Neural Compressor for any GLUE task. | |
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| Notebook | Description | Colab | Studio Lab |
|---|---|---|---|
| How to quantize a model with ONNX Runtime for text classification | Show how to apply static and dynamic quantization on a model using ONNX Runtime for any GLUE task. | |
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| How to fine-tune a model for text classification with ONNX Runtime | Show how to DistilBERT model on GLUE tasks using ONNX Runtime. | |
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| How to fine-tune a model for summarization with ONNX Runtime | Show how to fine-tune a T5 model on the BBC news corpus. | |
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| How to fine-tune DeBERTa for question-answering with ONNX Runtime | Show how to fine-tune a DeBERTa model on the squad. | |
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