Instructions to use Helsinki-NLP/opus-mt-eo-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Helsinki-NLP/opus-mt-eo-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-eo-nl")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-eo-nl") model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-eo-nl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa3d025283a85de223c3b086a0568ccffb81b44ffa166a1a94ba37970553e1b0
- Size of remote file:
- 194 MB
- SHA256:
- 8d203a6ffc915d4920a42b14e421e9815c0ed463fc601c37aee94ca45131850f
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