3min chapter

Practical AI: Machine Learning, Data Science, LLM cover image

🤗 The AI community building the future

Practical AI: Machine Learning, Data Science, LLM

CHAPTER

Hugging Face

I just want to tell every single fair developper, hay, you just need to know this. They do not need to know much about machine earning. So all they have to do is just to go to haben. You now fiter the models, find the model according to their use case, and just call pipe line or inference, a pon. And like checke, the models metrics. If this metric is on this level, then this means that model is good. This model takes x as an import and out puts wy as an output. It's lost a bit complicated from the machine urning side, so many fancy things going on. But

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