Instructions to use dzanbek/184ba167-bc2a-415e-b69a-1835c8cba40b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dzanbek/184ba167-bc2a-415e-b69a-1835c8cba40b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/zephyr-sft") model = PeftModel.from_pretrained(base_model, "dzanbek/184ba167-bc2a-415e-b69a-1835c8cba40b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac9b2b4c8279797b52b7b54465c057fe6b5d8775d602c6737955b9803b20a9b6
- Size of remote file:
- 6.71 kB
- SHA256:
- efa6f90bbe0d927377a10e8c95a425990b20eaf1d3d4998b26758995e9d0dc6a
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