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