Fix typo: use_safetenstors to use_safetensors

[CharlesCNorton]

Corrected a typo in security.md. Changed use_safetenstors to use_safetensors in the section discussing the usage of safe formats for loading models to prevent arbitrary code execution.

What does this PR do?

This PR corrects a typo in the security.md file. The typo was found in the section discussing the usage of safe formats for loading models to prevent arbitrary code execution. The incorrect term use_safetenstors was corrected to use_safetensors.

Fixes # (issue)

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• Did you write any new necessary tests?

Who can review?

Anyone in the community is free to review the PR once the tests have passed. Feel free to tag members/contributors who may be interested in your PR.

Models:

• text models: @ArthurZucker and @younesbelkada
• vision models: @amyeroberts
• speech models: @sanchit-gandhi
• graph models: @clefourrier

Library:

• flax: @sanchit-gandhi
• generate: @zucchini-nlp (visual-language models) or @gante (all others)
• pipelines: @Narsil
• tensorflow: @gante and @Rocketknight1
• tokenizers: @ArthurZucker
• trainer: @muellerzr and @SunMarc

Integrations:

• deepspeed: HF Trainer/Accelerate: @muellerzr
• ray/raytune: @richardliaw, @amogkam
• Big Model Inference: @SunMarc
• quantization (bitsandbytes, autogpt): @SunMarc and @younesbelkada

Documentation: @stevhliu and @MKhalusova

HF projects:

• accelerate: different repo
• datasets: different repo
• diffusers: different repo
• rust tokenizers: different repo

Maintained examples (not research project or legacy):

• Flax: @sanchit-gandhi
• PyTorch: See Models above and tag the person corresponding to the modality of the example.
• TensorFlow: @Rocketknight1

[younesbelkada]

Thanks !

[amyeroberts]

Hi @CharlesCNorton, thanks for fixing!

As a general note, please make sure to properly read, review and fill-out the PR template when opening. For example, all of the tick-box sections are selected here, which is not representative of the PR. One should also avoid tagging so many people, all of the people @'ed in the PR description would have received a notification, which isn't scalable if everyone did this. Select only one or two of the most relevant people to tag. If you're not sure - just select who you think might be best and they'll be happy to direct it to the correct person :)

[HuggingFaceDocBuilderDev]

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