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
Download kista_benchmarking/_Benchmarking_DB.json from BayesTensor/out: direct link, hf CLI and curl.
- Browser
- Download file 15 MB
-
https://huggingface.co/BayesTensor/out/resolve/main/kista_benchmarking/_Benchmarking_DB.json
- Command line
-
hf download hf://BayesTensor/out/kista_benchmarking/_Benchmarking_DB.json
-
curl -L -o _Benchmarking_DB.json https://huggingface.co/BayesTensor/out/resolve/main/kista_benchmarking/_Benchmarking_DB.json
15 MB
- Xet hash:
- 5736d1d858e0f768546d2ed83b355896506efba57acf64505ab886a36f37cfdb
- Size of remote file:
- 15 MB
- SHA256:
- 6ade68b7491c56aaf775dbc72be7089842da83cd54fcbb7fd387406c273ba392
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