Instructions to use ankunjin/hoseovf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ankunjin/hoseovf with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("beomi/KoAlpaca-Polyglot-5.8B") model = PeftModel.from_pretrained(base_model, "ankunjin/hoseovf") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58052ac89580b803f4042a70b8ce13b245b3cb7144b8fa3a3799a09d08ea8544
- Size of remote file:
- 14.7 MB
- SHA256:
- bfc609451692c914c5483631cdf88b5309408321fc501aa40208e6601de77761
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.