Instructions to use alizaidi/lora-mt5-goud with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alizaidi/lora-mt5-goud with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-small") model = PeftModel.from_pretrained(base_model, "alizaidi/lora-mt5-goud") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80c7c8180569f64f506db739fd702369927d130364039dca860a77c2f73b76d8
- Size of remote file:
- 5.3 kB
- SHA256:
- 1f9dea7555461e148c40ef118af1da094a42e1ad05e7bc4f1c3911c1e9c5085b
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