Instructions to use Ro551/opus-mt-es-en-GEC-spanish-LORA-synthetic 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-synthetic 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-synthetic") - Transformers
How to use Ro551/opus-mt-es-en-GEC-spanish-LORA-synthetic with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ro551/opus-mt-es-en-GEC-spanish-LORA-synthetic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78ad1081a9c710948c58dd6300747f79bc4164b8a3e0cb28184d24aad332d51c
- Size of remote file:
- 802 kB
- SHA256:
- 4dd547c24816a335e7b0b2e63376a8f1b3cbfc671eda5ab808dd44fdadaa8791
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