Instructions to use Nextcloud-AI/opus-mt-en-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/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="Nextcloud-AI/opus-mt-en-nl")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-en-nl") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-en-nl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f7b3f0977de98fcd65ca009ca12969b6e519f6009f1540e4fdddfc792d76071
- Size of remote file:
- 591 MB
- SHA256:
- 1b93f9b93bbf26c880f51e73249abdbc692fa81376c9ffd9be848ab19c8ab987
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