Python says [locked or gated repository] when trying to tether HuggingFace LLAMA Model

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Kyle aka DAILYDRIVER- have a 3070 RTX GPU 32GB RAM

Looking to install LLAMA 3 [2 billion ]

Downloaded python

CM CORE or CM MAKE or whatevs and am using SUPERGROK to guide my install - a lot of it is working but I keep getting an error that META LLAMA 3.2B is a gated locked repository at HuggingFace and GROK has been guiding me to my token key :key: I created on Hugging Face which I have copied and placed into both Python windows and into :window: +R powershell and cmd panels and - nada - zero - zilch can’t get LLAMA 3 to install - i am trying to tether UNITY to LLAMA 3 so I can create VR and XR / MR experienced and to utilize LLAMA 3 for building in UNITY- GROK seems to think i can give 3 different layers of listening and conteol how LLAMA 3 answers me so that a layer of responses back doors :door: directly into UNITY and makes the changes i want to see.

Once I get this utility figured out - i’d like to unpack NVIDIA’s legacy OMNIVERSE LAUNCHER out of their github and install all that on my desktop as well tethered into tbe same system

Can someone at HUGGINGFACE walk me through what’s what with getting Python to see my HuggingFace access key :key: to LLAMA 3 and actually installing it ?

I generated a token but I dont know if or how it is attached to my authorization from HuggingFace tk jse the model

I am trying to drive UNITY with voice prompts

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For gated models, it’s a bit more cumbersome since you must first obtain approval. After that, you can use the model by passing the token.

The method for passing the token varies by environment, using login() is often the most reliable approach.