Instructions to use Ro551/mbart-large-50-GEC-spanish-LORA-cowsl2h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ro551/mbart-large-50-GEC-spanish-LORA-cowsl2h with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/mbart-large-50") model = PeftModel.from_pretrained(base_model, "Ro551/mbart-large-50-GEC-spanish-LORA-cowsl2h") - Transformers
How to use Ro551/mbart-large-50-GEC-spanish-LORA-cowsl2h with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ro551/mbart-large-50-GEC-spanish-LORA-cowsl2h", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5eff10eb5ed8e5679a2dfb10f05e1b417309fea0ef3550b51724ef16bd1ed939
- Size of remote file:
- 16.8 MB
- SHA256:
- 87c6119c6ae0e0b0a6c7209545415902208b2f1a3a30312ba50b894e3b391cf9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.