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:
- 795d3b61d4cbec8c4ceac19b2ac82753b83813b307ab48ddbab1dc6e7e090094
- Size of remote file:
- 17.3 MB
- SHA256:
- eff87c5ae4f2e73a7ef9909b97067b22567edd0505f2d12099da33a770c993ae
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