Instructions to use Nextcloud-AI/opus-mt-nl-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nextcloud-AI/opus-mt-nl-sv 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-sv")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Nextcloud-AI/opus-mt-nl-sv") model = AutoModelForSeq2SeqLM.from_pretrained("Nextcloud-AI/opus-mt-nl-sv") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef09990c730038c11705c64ce5a65eeaef57a4682adb420df88598723d44edb5
- Size of remote file:
- 295 MB
- SHA256:
- 1ae6f12cef5377b542ec948f8c06816728aeac097b0d691f0c59726b025f6900
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