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:
- 78f47c3a58dbd9bf6da08ca04840ddbc744f42b894b20a556097ef2583bdcdae
- Size of remote file:
- 17.3 MB
- SHA256:
- 15504a67ce276ed5be80757b437c187f4bfb29e47408a024e9f48a093be355a4
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