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Added a section comparing inference speed on CPU vs GPU using Hugging Face pipeline and Accelerator.

Updated the example to use a generator for batch processing of prompts.
…indi)

Added an example for multilingual text generation using the text-generation pipeline and the accelerate library.
…indi)

Added multilingual text-generation example (English, Hindi, Telugu)
Added a section comparing inference speed on CPU vs GPU using Hugging Face pipeline and Accelerator.
Add CPU vs GPU performance comparison example
docs: added multi-input,device-aware text-generation example
Add multilingual text generation example to tutorial(English,Telugu,Hindi)
This example demonstrates batch inference with custom post-processing for text generation using the transformers library.
Add advanced text-generation example with post-processing
Rename advanced_examples to advanced_examples.md
Added a detailed explanation of Named Entity Recognition (NER) and provided a code example using the Hugging Face transformers pipeline.
@kowshik-thatinati
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Hi
I actually added a section comparing inference speed on CPU vs GPU using Hugging Face pipeline and Accelerator.

@ArthurZucker ArthurZucker requested a review from stevhliu January 5, 2026 15:44
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@stevhliu stevhliu left a comment

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hey, thanks but i don't think its necessary to show multilingual text generation and ner as the goal is to keep this doc more general. likewise, not necessary to compare cpu/gpu performance

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