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Pipelines are great for beginners. A pinepine is a bit of code that Xenova has kindly made available for lots of AI models so that you can easily and quickly use a certain AI model without having to worry about settings and other details.
For example, normally to run a text generation AI model you would need to setup a lot of things:
a tokenizer function, which turns your text (or other data) into input the AI model expects and understands.
the AI model itself, which needs to be initialized with certain preferences, like context size, temperature, quantization level, and more.
a processor function, that handles the output of the model and returns it to you as human readable text.
A pipeline wraps all those parts into a pre-made, easy to use package. So you can just put your question in one end, and an answer comes out the other end.
If you want to you can still do all the complex stuff. But if there is a pipeline available for the model you'd like to use, then you can also go the easy route and use that.
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