Translation
Transformers
PyTorch
TensorBoard
marian
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use domenicrosati/opus-mt-en-es-scielo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use domenicrosati/opus-mt-en-es-scielo with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="domenicrosati/opus-mt-en-es-scielo")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("domenicrosati/opus-mt-en-es-scielo") model = AutoModelForSeq2SeqLM.from_pretrained("domenicrosati/opus-mt-en-es-scielo") - Notebooks
- Google Colab
- Kaggle