Instructions to use SEDNA-AI/sedna-gpt2-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SEDNA-AI/sedna-gpt2-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HooshvareLab/gpt2-fa") model = PeftModel.from_pretrained(base_model, "SEDNA-AI/sedna-gpt2-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f52222daa58e4ec6afecabe590c455deb9a6abf31e3d792678a50973ceff3892
- Size of remote file:
- 5.18 kB
- SHA256:
- 148bd8a3f2dc00b81e6edb0d56d56280dae266e10af9bc3a625298d8f1e3ea6e
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