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docs integrations/embeddings consistency (#10302)

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Updated `integrations/embeddings`: fixed titles; added links,
descriptions
Updated `integrations/providers`.
This commit is contained in:
Leonid Ganeline
2023-09-07 19:53:33 -07:00
committed by GitHub
parent 1b3ea1eeb4
commit fdba711d28
16 changed files with 170 additions and 80 deletions
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10
docs/extras/integrations/text_embedding/sagemaker-endpoint.ipynb
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@@ -5,11 +5,13 @@
"id": "1f83f273",
"metadata": {},
"source": [
"# SageMaker Endpoint Embeddings\n",
"# SageMaker\n",
"\n",
"Let's load the SageMaker Endpoints Embeddings class. The class can be used if you host, e.g. your own Hugging Face model on SageMaker.\n",
"Let's load the `SageMaker Endpoints Embeddings` class. The class can be used if you host, e.g. your own Hugging Face model on SageMaker.\n",
"\n",
"For instructions on how to do this, please see [here](https://www.philschmid.de/custom-inference-huggingface-sagemaker). **Note**: In order to handle batched requests, you will need to adjust the return line in the `predict_fn()` function within the custom `inference.py` script:\n",
"For instructions on how to do this, please see [here](https://www.philschmid.de/custom-inference-huggingface-sagemaker). \n",
"\n",
"**Note**: In order to handle batched requests, you will need to adjust the return line in the `predict_fn()` function within the custom `inference.py` script:\n",
"\n",
"Change from\n",
"\n",
@@ -143,7 +145,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.1"
"version": "3.10.12"
},
"vscode": {
"interpreter": {