Instructions to use Helsinki-NLP/opus-mt-eu-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-eu-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-eu-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-eu-en") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-eu-en") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10be43b817b2e237b1e60454c3c2139c886ea5b969414db66756d1746be65a29
- Size of remote file:
- 299 MB
- SHA256:
- 25994f1aa9ef33a17bb3c68645a2f63beffeba6e4c657df1685174340a517ed5
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