Instructions to use Helsinki-NLP/opus-mt-en-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-en-nl 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-en-nl")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-nl") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-nl") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef0f815d0dc980cd8ddf9f7c7cdd1e8c2d4b04c735ee3407a1ce42351461825b
- Size of remote file:
- 316 MB
- SHA256:
- 8b2ff97027f9b35904984dca8508ab633dfffc4e58c7fbedb7eb236d2a937a36
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