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Fix Sagemaker Endpoint documentation (#13660)

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- **Description:** fixed the transform_input method in the example., 
  - **Issue:** example didn't work,
  - **Dependencies:** None,
  - **Tag maintainer:** @baskaryan,
  - **Twitter handle:** @Ravidhu87
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Ravidhu 2023-12-05 01:28:29 +01:00 committed by GitHub
parent 9f9cb71d26
commit 224aa5151d
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1 changed files with 2 additions and 2 deletions
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4
docs/docs/integrations/llms/sagemaker.ipynb
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@ -141,7 +141,7 @@
" accepts = \"application/json\"\n",
"\n",
" def transform_input(self, prompt: str, model_kwargs: Dict) -> bytes:\n",
" input_str = json.dumps({prompt: prompt, **model_kwargs})\n",
" input_str = json.dumps({\"inputs\": prompt, \"parameters\": model_kwargs})\n",
" return input_str.encode(\"utf-8\")\n",
"\n",
" def transform_output(self, output: bytes) -> str:\n",
@ -197,7 +197,7 @@
" accepts = \"application/json\"\n",
"\n",
" def transform_input(self, prompt: str, model_kwargs: Dict) -> bytes:\n",
" input_str = json.dumps({prompt: prompt, **model_kwargs})\n",
" input_str = json.dumps({\"inputs\": prompt, \"parameters\": model_kwargs})\n",
" return input_str.encode(\"utf-8\")\n",
"\n",
" def transform_output(self, output: bytes) -> str:\n",