Instructions to use BayesTensor/out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BayesTensor/out with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "BayesTensor/out") - Notebooks
- Google Colab
- Kaggle
| tag: bertaqa | |
| dataset_path: HiTZ/BertaQA | |
| dataset_name: null | |
| validation_split: null | |
| test_split: test | |
| fewshot_split: test | |
| output_type: multiple_choice | |
| doc_to_choice: ["A", "B", "C"] | |
| doc_to_target: answer | |
| metric_list: | |
| - metric: acc | |
| aggregation: mean | |
| higher_is_better: true | |
| metadata: | |
| version: 0.0 | |