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Readme #1068

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Dec 16, 2024
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Readme #1068

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update readme
jiqing-feng Dec 12, 2024
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update readme
jiqing-feng Dec 12, 2024
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update ipex readme
jiqing-feng Dec 16, 2024
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jiqing-feng Dec 16, 2024
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echarlaix Dec 16, 2024
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Update notebooks/ipex/text_generation.ipynb
echarlaix Dec 16, 2024
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Expand Up @@ -159,7 +159,7 @@ optimized_model = OVModelForSequenceClassification.from_pretrained(save_dir)


## IPEX
To load your IPEX model, you can just replace your `AutoModelForXxx` class with the corresponding `IPEXModelForXxx` class. You can set `export=True` to load a PyTorch checkpoint, export your model via TorchScript and apply IPEX optimizations : both operators optimization (replaced with customized IPEX operators) and graph-level optimization (like operators fusion) will be applied on your model.
To load your IPEX model, you can just replace your `AutoModelForXxx` class with the corresponding `IPEXModelForXxx` class. It will load a PyTorch checkpoint, and apply IPEX optimizations : both operators optimization (replaced with customized IPEX operators) and graph-level optimization (like operators fusion) will be applied on your model.
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```diff
from transformers import AutoTokenizer, pipeline
- from transformers import AutoModelForCausalLM
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