Instructions to use Nextcloud-AI/opus-mt-nl-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-nl-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="Nextcloud-AI/opus-mt-nl-en")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-nl-en") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-nl-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5af230ccb44062e64303536a21259eb1472b55dad22330254e97bc0205aaac12
- Size of remote file:
- 591 MB
- SHA256:
- 0c29d39ce3ab6c12a6a24cf751bae734ae47a4c46bdb2f50decccdd0d47886f1
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