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
Ctrl+K
- __pycache__
- aclue
- aexams
- afrimgsm
- afrimmlu
- afrixnli
- agieval
- alghafa
- anli
- arabic_leaderboard_complete
- arabic_leaderboard_light
- arabicmmlu
- aradice
- arc
- arc_mt
- arithmetic
- asdiv
- babi
- basque_bench
- basqueglue
- bbh
- belebele
- benchmarks
- bertaqa
- bigbench
- blimp
- catalan_bench
- ceval
- cmmlu
- code_x_glue
- commonsense_qa
- copal_id
- coqa
- crows_pairs
- csatqa
- drop
- eq_bench
- eus_exams
- eus_proficiency
- eus_reading
- eus_trivia
- fda
- fld
- french_bench
- galician_bench
- glianorex
- global_mmlu
- glue
- gpqa
- gsm8k