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 lm-evaluation-harness/setup.py from BayesTensor/out: direct link, hf CLI and curl.
- Browser
- Download file 106 Bytes
-
https://huggingface.co/BayesTensor/out/resolve/main/lm-evaluation-harness/setup.py
- Command line
-
hf download hf://BayesTensor/out/lm-evaluation-harness/setup.py
-
curl -L -o setup.py https://huggingface.co/BayesTensor/out/resolve/main/lm-evaluation-harness/setup.py
106 Bytes
| import setuptools | |
| # This is to make sure that the package supports editable installs | |
| setuptools.setup() | |