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:
- a7c095338dcd6e1b923e9372d20c0db5b3f89112e38fe46a8cb94ea790f98eee
- Size of remote file:
- 5.39 kB
- SHA256:
- 7cf1f8136c3ebd8d6ec2ec8345a755a6a1ec68abc612a7fb22fd77df9605e152
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.