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/__pycache__/benchmarking.cpython-311.pyc from BayesTensor/out: direct link, hf CLI and curl.
- Browser
- Download file 7.08 kB
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https://huggingface.co/BayesTensor/out/resolve/main/kista_benchmarking/__pycache__/benchmarking.cpython-311.pyc
- Command line
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hf download hf://BayesTensor/out/kista_benchmarking/__pycache__/benchmarking.cpython-311.pyc
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curl -L -o benchmarking.cpython-311.pyc https://huggingface.co/BayesTensor/out/resolve/main/kista_benchmarking/__pycache__/benchmarking.cpython-311.pyc
7.08 kB
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