Instructions to use eeeebbb2/2a482079-7616-410e-9581-d0ea6a23eb7f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/2a482079-7616-410e-9581-d0ea6a23eb7f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "eeeebbb2/2a482079-7616-410e-9581-d0ea6a23eb7f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3caabf8e652f2a44ab684164a41fc53a454adcd14eab49292e1ef076748786bc
- Size of remote file:
- 70.4 MB
- SHA256:
- 40e5e55f3f176728467dbe48dfdd1a6b74f6ce0a0165ee9e81adf3f4e9944ad0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.