Instructions to use Ro551/opus-mt-es-en-GEC-spanish-LORA-cowsl2h 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-cowsl2h 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-cowsl2h") - Transformers
How to use Ro551/opus-mt-es-en-GEC-spanish-LORA-cowsl2h with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ro551/opus-mt-es-en-GEC-spanish-LORA-cowsl2h", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 055c3bed14646cb8be0575a8ea4c34aca1198a29dee3a9b547f8c7ad113387b9
- Size of remote file:
- 826 kB
- SHA256:
- e236ee6d866b635c0142114f8647f39831f9d92534aa2aad75c942f6a78ad0e3
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