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docs: changed the link to more helpful source (#20411)

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docs: changed a link to better source

[Previous
link](https://www.philschmid.de/custom-inference-huggingface-sagemaker)
is about how to upload embeddings model.
[New
link](https://huggingface.co/blog/kchoe/deploy-any-huggingface-model-to-sagemaker)
is about how to upload cross encoder model, which directly addresses
what is needed here. For full disclosure, I wrote this article and the
sample `inference.py` is the result of this new article.

Co-authored-by: Kenny Choe <kchoe@amazon.com>
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Kenneth Choe 2024-04-13 17:54:33 -05:00 committed by GitHub
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docs/docs/integrations/document_transformers/cross_encoder_reranker.ipynb
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@ -175,7 +175,7 @@
"source": [
"## Uploading Hugging Face model to SageMaker endpoint\n",
"\n",
"Refer to [this article](https://www.philschmid.de/custom-inference-huggingface-sagemaker) for general guideline. Here is a simple `inference.py` for creating an endpoint that works with `SagemakerEndpointCrossEncoder`.\n",
"Here is a sample `inference.py` for creating an endpoint that works with `SagemakerEndpointCrossEncoder`. For more details with step-by-step guidance, refer to [this article](https://huggingface.co/blog/kchoe/deploy-any-huggingface-model-to-sagemaker). \n",
"\n",
"It downloads Hugging Face model on the fly, so you do not need to keep the model artifacts such as `pytorch_model.bin` in your `model.tar.gz`."
]