Instructions to use Ro551/opus-mt-es-en-GEC-spanish-LORA-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ro551/opus-mt-es-en-GEC-spanish-LORA-merged with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-es-en") model = PeftModel.from_pretrained(base_model, "Ro551/opus-mt-es-en-GEC-spanish-LORA-merged") - Transformers
How to use Ro551/opus-mt-es-en-GEC-spanish-LORA-merged with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ro551/opus-mt-es-en-GEC-spanish-LORA-merged", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc41211a54c821ebd05340cde9cc9a48473850a5e54a340dc639a32a6ccde443
- Size of remote file:
- 17.3 MB
- SHA256:
- 723167b1d9e4ef859bf1cf14ae06b792073ed7396614cec82e0199ef79df011b
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