Instructions to use Helsinki-NLP/opus-mt-ROMANCE-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-ROMANCE-en 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="Helsinki-NLP/opus-mt-ROMANCE-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ROMANCE-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ROMANCE-en", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f593f0a73899948537870b2b5dc6ebadbc56f375460bc007da7ce5deb715a05c
- Size of remote file:
- 312 MB
- SHA256:
- 9d77bbbd43a214959e027ffc8713fbe31f8609d14827fba645f1361ca20a6f3a
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