Instructions to use benitoals/mt5-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use benitoals/mt5-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/mt5-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c92373e6afc4fe585f85a9cb285ac1c9729284c9b70f98943a139a5ef1ed7f95
- Size of remote file:
- 5.5 kB
- SHA256:
- a1ab132f18d580d5a559408a83950beaf2935ddf9d606b31413a2441a2bff811
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