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Instructions to use DavidAU/support with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DavidAU/support with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DavidAU/support", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Thank you in advance.
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<b>ABOUT DavidAU:</B>
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- As of this writing my repo (DavidAU) has over 4 million downloads per month. This does not account for "user setup repos" / mirrors of my teams models.
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- I have published over 2000 models over the past 3 years - Llama, Qwen, Mistral, LFM, OpenAI, GLM, Gemmas and many others. (see details below)
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Thank you in advance.
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<B>Turbo Brilliance Collection - 50X - 27+27 (or higher) reasoning and instruct modes plus 15 (or higher) AI Constructs:</b>
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15 AI CONSTRUCTS: Each a precision engineered "consciousness" to help you in every task, using fewer tokens and generating better answers. This model has significant internal upgrades under user control that are "on the fly" (you set in your prompt(s) and/or API). Please read this model card carefully to get the most from it - including all the reasoning and instruct modes (27+27) that feature model suggestions ("context help") for all use cases. The Turbo Brilliance system will begin appearing in other model sizes/types shortly (IE: Qwen, Gemma, Mistral, GLM, Llama, and our fine tunes too).
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</small>
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https://huggingface.co/collections/DavidAU/turbo-brilliance-ai-constructs-50x-reasoning-instruct
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<b>ABOUT DavidAU:</B>
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- As of this writing my repo (DavidAU) has over 4 million downloads per month. This does not account for "user setup repos" / mirrors of my teams models.
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- I have published over 2000 models over the past 3 years - Llama, Qwen, Mistral, LFM, OpenAI, GLM, Gemmas and many others. (see details below)
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