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--- |
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license: mit |
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datasets: |
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- openai/MMMLU |
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- argilla/FinePersonas-v0.1 |
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- SkunkworksAI/reasoning-0.01 |
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- fka/awesome-chatgpt-prompts |
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metrics: |
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- accuracy |
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- bleu |
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- bertscore |
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- bleurt |
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base_model: |
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- meta-llama/Llama-3.2-11B-Vision-Instruct |
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- nvidia/NVLM-D-72B |
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- openai/whisper-large-v3-turbo |
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new_version: meta-llama/Llama-3.1-8B-Instruct |
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pipeline_tag: question-answering |
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library_name: adapter-transformers |
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--- |
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from transformers import |
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from adapters import AutoAdapterModel |
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model = AutoAdapterModel.from_pretrained("undefined") |
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model.load_adapter("Wilderss/QuantumedgeAI", set_active=True) |
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from adapters import AutoAdapterModel |
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model = AutoAdapterModel.from_pretrained("undefined") |
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model.load_adapter("Wilderss/QuantumedgeAI", set_active=True) |
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