Instructions to use benitoals/my-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use benitoals/my-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-small") model = PeftModel.from_pretrained(base_model, "benitoals/my-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd2403928d9bf8617757d7811adbf50b27dc47ad839e8a60d14e1fa7bcb2dff8
- Size of remote file:
- 5.5 kB
- SHA256:
- d9d2672bec5bd307f293ca79ff6e078266d6920b7544c0453b400fb231e7e61c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.